cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0200304.10fu
title: SH0200304.10FU

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: 10.6084/m9.figshare.30066760.v1
title: RedCap Link to Data. PID Reference number 17921.

description: This study aimed to develop a reproducible swine model of TBI in the setting of uncontrolled abdominal hemorrhage, using an electronically controlled cortical impactor (eCCI) to induce TBI and facilitate concurrent liver injury via laparotomy. A custom stereotactic frame and impactor mount were built to accommodate the unique supine positioning. An electromotive force sensor built into the custom impactor tip was used to establish the impactor set point at the dural border.In 11 swine, eCCI readings showed a mean TBI impact velocity of 3.46 m/s (SD 0.041) and depth of 10.77 mm (SD 0.042) compared to programmed values of 4.0 m/s and 10.99 mm respectively. This model effectively produced reproducible TBI eCCI calibration and impact measurements, demonstrating the feasibility of inducing concurrent injuries in a supine TBI polytrauma swine model.
DOI: 10.15156/bio/sh0200305.10fu
title: SH0200305.10FU

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: 10.3886/e242933
title: Mcpherson University, Seriki Sotayo, Ajebo 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form,

description: Mcpherson University, Seriki Sotayo, Ajebo 2026/27 JUPEB/IJMB Form is out ☎️(08039478772) DR MERCY☎️ (+23408039478772) Direct-Entry Form, Transfer Form, Change of institution form, Change of Course form, Post graduate Diploma form, Masters form, Phd form call ☎️(+23408039478772) for more inquiry and admission assistance.
DOI: 10.15156/bio/sh0200306.10fu
title: SH0200306.10FU

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/sh0200307.10fu
title: SH0200307.10FU

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/sh0200308.10fu
title: SH0200308.10FU

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/sh0200309.10fu
title: SH0200309.10FU

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.pbrhhy
title: Occurrence Download

description: A dataset containing 8987 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litoria bicolor"
 ]
}

 The dataset includes 8987 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002148-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0200310.10fu
title: SH0200310.10FU

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: 10.5281/zenodo.14876894
title: Untargeted metabolomics and targeted phytohormone profiling of Sweet Aloes (Euphorbia neriifolia) from Guyana: an assessment of asthma therapy potential in leaf extracts and latex.

description: Additional supplemental information for the article. Data included are: MS1 and MS2 datasets and other additional information.
DOI: 10.5281/zenodo.14876895
title: Untargeted metabolomics and targeted phytohormone profiling of Sweet Aloes (Euphorbia neriifolia) from Guyana: an assessment of asthma therapy potential in leaf extracts and latex.

description: Additional supplemental information for the article. Data included are: MS1 and MS2 datasets and other additional information.
DOI: 10.15468/dl.erdqpv
title: Occurrence Download

description: A dataset containing 32085289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32085289 records from 3812 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001693-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr08339.v4
title: Health Interview Survey, 1974
title: Version 4

description: The purpose of the Health Interview Survey is to obtain
information about the amount and distribution of illness, its effects
in terms of disability and chronic impairments, and the kinds of
health services people receive. There are five types of records in
the core survey, each in a separate data file. The
variables in the Household File (Part 1) include type of living
quarters, size of family, number of families in the household,
presence of a telephone, number of unrelated individuals, and
region. The Person File (Part 2) includes information on sex, age, race, marital status, Hispanic origin, education, veteran status, family income, family size, major activities, health status, activity limits, employment status, and
industry and occupation. These variables are found in the Condition,
Doctor Visit, and Hospital Episode Files as well. The Person File
also supplies data on height, weight, bed days, doctor visits,
hospital stays, years at residence, and region variables. The Condition File (Part 3) contains information for each reported health condition, with specifics on injury and accident reports. The Hospital Episode File (Part 4) provides information on medical conditions, hospital episodes, type of service, type of
hospital ownership, date of admission and discharge, number of nights
in hospital, and operations performed. The Doctor Visit File (Part 5)
documents doctor visits within the time period and identifies acute or
chronic conditions. A sixth and seventh file have been added along with the five core files. The Condition Supplement File (Part 6) provides further information regarding injuries, health status, medical advice received, travel time and waiting time for care, and satisfaction with health services provided. The Health Insurance File (Part 7) provides general demographic information as well as type of care obtained through insurance plans, work loss because of current conditions, and whether or not the patient has any type of insurance or no insurance coverage at all.
description: These data contain multiple weight variables for each part. Users should refer to the User Guide for further information regarding the weights and their derivation. Additionally, users may need to weight the data prior to analysis.
description: A multistage probability sample was used in selecting the
housing units.
description: Datasets: 
DS0: Study-Level Files
DS1: Household 
DS2: Person 
DS3: Condition 
DS4: Hospital Episode 
DS5: Doctor Visit 
DS6: Condition Supplement 
DS7: Health Insurance
description: Civilian, noninstitutionalized population of the United
States.
description: face-to-face interviewThese data files contain weights that must be
used in any analysis.Per agreement with NCHS, ICPSR distributes
the data files and text of the technical documentation for this
collection as prepared by NCHS.
DOI: 10.15468/dl.w8aj7c
title: Occurrence Download

description: A dataset containing 1322314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lonchocarpus punctatus Kunth, Lonicera alpigena L., Lonicera caprifolium L., Lonicera etrusca Santi, Lonicera fragrantissima Lindl. & Paxton, Lonicera morrowii A.Gray, Lonicera periclymenum L., Lonicera ligustrina var. pileata (Oliv.) Franch., Lonicera fragrantissima subsp. fragrantissima, Lophospermum erubescens D.Don ex Sweet, Lophostemon confertus (R.Br.) Paul G.Wilson & J.T.Waterh., Loropetalum chinense (R.Br.) Oliv., Lotus angustissimus L., Lotus corniculatus subsp. corniculatus, Lotus tenuis Waldst. & Kit. ex Willd., Lotus subbiflorus Lag., Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia hexapetala (Hook. & Arn.) Zardini, H.Y.Gu & P.H.Raven, Ludwigia peploides subsp. montevidensis (Spreng.) P.H.Raven, Ludwigia peruviana (L.) H.Hara, Luffa acutangula (L.) Roxb., Luffa aegyptiaca Mill., Luma apiculata (DC.) Burret, Lunaria rediviva L., Lupinus albus L., Lupinus polyphyllus subsp. polyphyllus, Lupinus angustifolius L., Lupinus arboreus Sims, Lupinus luteus L., Luziola peruviana J.F.Gmel., Luziola subintegra Swallen, Luzula congesta (Thuill.) Lej., Luzula forsteri (Sm.) DC., Luzula pallescens Sw., Silene banksia (Meerb.) Mabb., Lycianthes repens (Spreng.) Bitter, Lycianthes rantonnetii (Carrière ex Lesc.) Bitter, Lycium ferocissimum Miers, Alternanthera paronychioides A.St.-Hil., Alpinia mutica Roxb., Alpinia purpurata (Vieill.) K.Schum., Alpinia zerumbet (Pers.) B.L.Burtt & R.M.Sm., Alstonia macrophylla Wall. ex G.Don, Alstonia scholaris (L.) R.Br., Alstroemeria aurea Graham, Alternanthera bettzickiana (Regel) G.Nicholson, Alternanthera brasiliana (L.) Kuntze, Alternanthera ficoidea (L.) R.Br., Alternanthera philoxeroides (Mart.) Griseb., Alternanthera sessilis (L.) R.Br. ex DC.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1322314 records from 4032 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009422-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sf3a5m
title: Occurrence Download

description: A dataset containing 236488 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Field Museum of Natural History (Zoology) Mammal Collection"
 ]
}

 The dataset includes 236488 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019901-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfazk3
title: Occurrence Download

description: A dataset containing 234599 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Hotspots de biodiversité en Nouvelle-Aquitaine-Données issues du logiciel \"Faune Aquitaine\""
 ]
}

 The dataset includes 234599 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019903-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwvv2w
title: Occurrence Download

description: A dataset containing 236030 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is KwaZulu-Natal Museum-Entomology-collection"
 ]
}

 The dataset includes 236030 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019902-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13338232
title: hyperolius_nasutus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.13338233
title: hyperolius_nasutus_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.25150636
title: Additional file 1 of Epigenetic drug screening for trophoblast syncytialization reveals a novel role for MLL1 in regulating fetoplacental growth

description: Additional file 1: Table S1. Details of the epigenetic compound library.
DOI: 10.6084/m9.figshare.25150636.v1
title: Additional file 1 of Epigenetic drug screening for trophoblast syncytialization reveals a novel role for MLL1 in regulating fetoplacental growth

description: Additional file 1: Table S1. Details of the epigenetic compound library.
DOI: 10.6084/m9.figshare.25150731
title: Additional file 2 of The role of Helicobacter suis, Fusobacterium gastrosuis, and the pars oesophageal microbiota in gastric ulceration in slaughter pigs receiving meal or pelleted feed

description: Additional file 2. Differentially abundant Amplicon Sequence Variants (ASVs) associated with meal feed and macroscopic lesion score.
DOI: 10.6084/m9.figshare.25150731.v1
title: Additional file 2 of The role of Helicobacter suis, Fusobacterium gastrosuis, and the pars oesophageal microbiota in gastric ulceration in slaughter pigs receiving meal or pelleted feed

description: Additional file 2. Differentially abundant Amplicon Sequence Variants (ASVs) associated with meal feed and macroscopic lesion score.
DOI: 10.6084/m9.figshare.26677394.v1
title: Additional file 3 of Distinct structural variants and repeat landscape shape the genomes of the ancient grapes Aglianico and Falanghina

description: Additional file 3: Tables S1-S17
DOI: 10.6084/m9.figshare.26677394
title: Additional file 3 of Distinct structural variants and repeat landscape shape the genomes of the ancient grapes Aglianico and Falanghina

description: Additional file 3: Tables S1-S17
DOI: 10.15468/dl.4sjwhd
title: Occurrence Download

description: A dataset containing 5180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ageratum conyzoides L.",
 "Year 2019-2024"
 ]
}

 The dataset includes 5180 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072822-240626123714530/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.26677418
title: Additional file 10 of Phylogeographical and population genetics of Polyspora sweet in China provides insights into its phylogenetic evolution and subtropical dispersal

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.26677418.v1
title: Additional file 10 of Phylogeographical and population genetics of Polyspora sweet in China provides insights into its phylogenetic evolution and subtropical dispersal

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.25150746
title: Additional file 2 of Transcriptomic analysis reveals the molecular basis of photoperiod-regulated sex differentiation in tropical pumpkins (Cucurbita moschata Duch.)

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.25150746.v1
title: Additional file 2 of Transcriptomic analysis reveals the molecular basis of photoperiod-regulated sex differentiation in tropical pumpkins (Cucurbita moschata Duch.)

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26677541
title: Additional file 3 of The prevalence and risk factors for phantom limb pain: a cross-sectional survey

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26677541.v1
title: Additional file 3 of The prevalence and risk factors for phantom limb pain: a cross-sectional survey

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.25157397
title: Additional file 1 of Genetic evidence of the causal relationship between chronic liver diseases and musculoskeletal disorders

description: Additional file 1: Table S1. Definition of the cases and the controls in FinnGen. Table S2. Download link for GWAS data. Table S3. Information on instrumental variables for the causal effect of chronic liver diseases on musculoskeletal disorders. Table S4. Detailed information on instrumental variables for the causal effect of chronic liver diseases on osteoporosis. Table S5. Detailed information on instrumental variables for the causal effect of chronic liver diseases on osteoarthritis. Table S6. Detailed information on instrumental variables for the causal effect of chronic liver diseases on sarcopenia. Table S7. Information on instrumental variables for the causal effect of musculoskeletal disorders on chronic liver diseases. Table S8. Detailed information on instrumental variables for the causal effect of osteoporosis on chronic liver diseases. Table S9. Detailed information on instrumental variables for the causal effect of osteoarthritis on chronic liver diseases. Table S10. Detailed information on instrumental variables for the causal effect of sarcopenia on chronic liver diseases. Table S11. Steiger filtering results. Table S12. Excluded outlier SNPs. Table S13. Results of CAUSE method. Table S14. Mendelian randomization analysis of the causal effect of osteoporosis on chronic liver diseases. Table S15. Mendelian randomization analysis of the causal effect of osteoarthritis on chronic liver diseases. Table S16. Mendelian randomization analysis of the causal effect of sarcopenia on chronic liver diseases. Table S17. Heterogeneity and pleiotropy test of forward Mendelian randomization studies. Table S18. Heterogeneity and pleiotropy test of reverse Mendelian randomization studies. Table S19. Results of latent causal variable model.