cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0188421.10fu
title: SH0188421.10FU

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.bubw5m
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((78.101567 19.856555, 78.026894 19.850979, 77.954075 19.834389, 77.884916 19.807197, 77.82113200000001 19.770078, 77.76429899999999 19.723952, 77.71581999999999 19.669962, 77.676885 19.609444, 77.64844600000001 19.543894, 77.631193 19.474932, 77.625535 19.40426, 77.63159899999999 19.333617, 77.649219 19.264742, 77.677948 19.199328, 77.71707000000001 19.138981, 77.765614 19.085179, 77.822382 19.039242, 77.88597900000001 19.002294, 77.954847 18.975237, 78.0273 18.958734, 78.101567 18.953188, 78.17583399999999 18.958734, 78.248287 18.975237, 78.317155 19.002294, 78.380752 19.039242, 78.43752000000001 19.085179, 78.486064 19.138981, 78.52518600000001 19.199328, 78.553915 19.264742, 78.571535 19.333617, 78.57759900000001 19.40426, 78.571941 19.474932, 78.554688 19.543894, 78.52624900000001 19.609444, 78.487314 19.669962, 78.438835 19.723952, 78.382002 19.770078, 78.318218 19.807197, 78.249059 19.834389, 78.17624000000001 19.850979, 78.101567 19.856555))"},{"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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001898-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0188422.10fu
title: SH0188422.10FU

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/sh0188423.10fu
title: SH0188423.10FU

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/sh0188424.10fu
title: SH0188424.10FU

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/sh0188425.10fu
title: SH0188425.10FU

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/sh0188426.10fu
title: SH0188426.10FU

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.26607787
title: Additional file 1 of Children’s injury database: development of an injury surveillance system in a pediatric emergency department

description: Additional file 1: Injury code ranges used in assigning injury categories.
DOI: 10.6084/m9.figshare.26678759
title: Additional file 4 of The utility of behavioral biometrics in user authentication and demographic characteristic detection: a scoping review

description: Additional file 4: Table 2. Quality Assessment of Included Studies.
DOI: 10.6084/m9.figshare.26678759.v1
title: Additional file 4 of The utility of behavioral biometrics in user authentication and demographic characteristic detection: a scoping review

description: Additional file 4: Table 2. Quality Assessment of Included Studies.
DOI: 10.6084/m9.figshare.26571040
title: Additional file 3 of Supporting the differential diagnosis of connective tissue diseases with neurological involvement by blood and cerebrospinal fluid flow cytometry

description: Additional file 3: Table S2. ROC AUC values corresponding to Fig. 3.
DOI: 10.6084/m9.figshare.26571040.v1
title: Additional file 3 of Supporting the differential diagnosis of connective tissue diseases with neurological involvement by blood and cerebrospinal fluid flow cytometry

description: Additional file 3: Table S2. ROC AUC values corresponding to Fig. 3.
DOI: 10.6084/m9.figshare.26571037.v1
title: Additional file 2 of Supporting the differential diagnosis of connective tissue diseases with neurological involvement by blood and cerebrospinal fluid flow cytometry

description: Additional file 2: Table S1. Patient characteristics table.
DOI: 10.6084/m9.figshare.26607787.v1
title: Additional file 1 of Children’s injury database: development of an injury surveillance system in a pediatric emergency department

description: Additional file 1: Injury code ranges used in assigning injury categories.
DOI: 10.15468/dl.mby4cr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.773746 -32.654449, 148.773746 -32.665678, 148.782729 -32.665678, 148.782729 -32.661187, 148.775991 -32.661187, 148.775991 -32.658941, 148.780483 -32.658941, 148.780483 -32.654449, 148.773746 -32.654449))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067304-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4fr39
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is one of (Herbario Universidad de Caldas - FAUC, Herbario Nacional Colombiano (COL), Herbario de la Universidad Industrial de Santander, Herbario Pontificia Universidad Javeriana, Herbario virtual bosques secos de Colombia - sección herbario FMB (IAvH), Colección Herbario Federico Medem Bogotá - FMB)",
 "OccurrenceStatus is Present",
 "TaxonKey is Datura stramonium L."
 ]
}

 The dataset's 1 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067281-240626123714530/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.26607739
title: Additional file 2 of Economic analysis of a new four-panel rapid screening test in antenatal care in Kenya, Rwanda, and Uganda

description: Supplemental Material S2. ANC panel economic evaluation
DOI: 10.6084/m9.figshare.26570971
title: Additional file 1 of Synergistic improvement of cinnamylamine production by metabolic regulation

description: Additional file 1: Fig. S1. Chemical synthesis routes of several APAs. Fig. S2. Volcano plot of DEGs between S003 and S009. Fig. S3. DEGs in TCA cycle pathway between S003 and S009. Fig. S4. DEGs in oxidative phosphorylation pathway between S003 and S009. Fig. S5. DEGs in pyruvate metabolism pathway between S003 and S009. Fig. S6. Volcano plot of DEGs between S003 and S010. Fig. S7. The effect of DMSO on the conversion of cinnamic acid to cinnamylamine by ncCAR and OATA. Fig. S8. The effect of L-Ala on the conversion of cinnamic acid to cinnamylamine by ncCAR and OATA. Table S1. Sequences of P1,6 and P2,51 promoter. Table S2. The effect of DMSO on yield, conversion and selectivity. Table S3. The effect of L-Ala on yield, conversion and selectivity.
DOI: 10.6084/m9.figshare.26607739.v1
title: Additional file 2 of Economic analysis of a new four-panel rapid screening test in antenatal care in Kenya, Rwanda, and Uganda

description: Supplemental Material S2. ANC panel economic evaluation
DOI: 10.6084/m9.figshare.26570971.v1
title: Additional file 1 of Synergistic improvement of cinnamylamine production by metabolic regulation

description: Additional file 1: Fig. S1. Chemical synthesis routes of several APAs. Fig. S2. Volcano plot of DEGs between S003 and S009. Fig. S3. DEGs in TCA cycle pathway between S003 and S009. Fig. S4. DEGs in oxidative phosphorylation pathway between S003 and S009. Fig. S5. DEGs in pyruvate metabolism pathway between S003 and S009. Fig. S6. Volcano plot of DEGs between S003 and S010. Fig. S7. The effect of DMSO on the conversion of cinnamic acid to cinnamylamine by ncCAR and OATA. Fig. S8. The effect of L-Ala on the conversion of cinnamic acid to cinnamylamine by ncCAR and OATA. Table S1. Sequences of P1,6 and P2,51 promoter. Table S2. The effect of DMSO on yield, conversion and selectivity. Table S3. The effect of L-Ala on yield, conversion and selectivity.
DOI: 10.6084/m9.figshare.26607487.v1
title: Additional file 1 of Characterization of protein cargo of Echinococcus granulosus extracellular vesicles in drug response and its influence on immune response

description: Additional file 1: Tables S1–S3. Proteomic analysis of extracellular vesicles from control and metformin- or ABZSO-treated protoscoleces of Echinococcus granulosus.
DOI: 10.6084/m9.figshare.26607487
title: Additional file 1 of Characterization of protein cargo of Echinococcus granulosus extracellular vesicles in drug response and its influence on immune response

description: Additional file 1: Tables S1–S3. Proteomic analysis of extracellular vesicles from control and metformin- or ABZSO-treated protoscoleces of Echinococcus granulosus.
DOI: 10.15468/dl.v5w929
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.537937 -32.656695, 148.537937 -32.658941, 148.535691 -32.658941, 148.535691 -32.661187, 148.537937 -32.661187, 148.537937 -32.665678, 148.542428 -32.665678, 148.542428 -32.658941, 148.549166 -32.658941, 148.549166 -32.656695, 148.537937 -32.656695))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067305-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26678873
title: Additional file 1 of Does Advanced Footwear Technology Improve Track and Road Racing Performance? An Explorative Analysis Based on the 100 Best Yearly Performances in the World Between 2010 and 2022

description: Additional file 1. Supplementary tables.
DOI: 10.6084/m9.figshare.26678873.v1
title: Additional file 1 of Does Advanced Footwear Technology Improve Track and Road Racing Performance? An Explorative Analysis Based on the 100 Best Yearly Performances in the World Between 2010 and 2022

description: Additional file 1. Supplementary tables.
DOI: 10.6084/m9.figshare.26678879
title: Additional file 2 of The Schwann cell-specific G-protein Gαo (Gnao1) is a cell-intrinsic controller contributing to the regulation of myelination in peripheral nerve system

description: Additional file 2: Table S1. The analysis of microarray data (GSE163132).
DOI: 10.6084/m9.figshare.26678879.v1
title: Additional file 2 of The Schwann cell-specific G-protein Gαo (Gnao1) is a cell-intrinsic controller contributing to the regulation of myelination in peripheral nerve system

description: Additional file 2: Table S1. The analysis of microarray data (GSE163132).
DOI: 10.6084/m9.figshare.26678882
title: Additional file 3 of The Schwann cell-specific G-protein Gαo (Gnao1) is a cell-intrinsic controller contributing to the regulation of myelination in peripheral nerve system

description: Additional file 3: Table S2. The analysis of RNA-seq data of Gnao1-KD-SCs and control (NC) before and after differentiation.
DOI: 10.6084/m9.figshare.26678882.v1
title: Additional file 3 of The Schwann cell-specific G-protein Gαo (Gnao1) is a cell-intrinsic controller contributing to the regulation of myelination in peripheral nerve system

description: Additional file 3: Table S2. The analysis of RNA-seq data of Gnao1-KD-SCs and control (NC) before and after differentiation.
DOI: 10.7270/q2rf5txv
title: BindingDB Entry 50028966: TBA

description: Small molecule binding data for protein GAR transformylase, Uniprot Q64737
DOI: 10.15468/dl.h2c8jh
title: Occurrence Download

description: A dataset containing 3226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Didelphis virginiana Kerr, 1792",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "BasisOfRecord is one of (Specimen)",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is INTRODUCED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is INVASIVE"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is NATURALISED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 3226 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067307-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctmvkc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.596327 -32.656695, 148.596327 -32.661187, 148.598573 -32.661187, 148.598573 -32.656695, 148.596327 -32.656695))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067308-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26607820.v1
title: Additional file 2 of The impact of applying various de novo assembly and correction tools on the identification of genome characterization, drug resistance, and virulence factors of clinical isolates using ONT sequencing

description: Additional file 2.
DOI: 10.6084/m9.figshare.26607820
title: Additional file 2 of The impact of applying various de novo assembly and correction tools on the identification of genome characterization, drug resistance, and virulence factors of clinical isolates using ONT sequencing

description: Additional file 2.
DOI: 10.15468/dl.m2werh
title: Occurrence Download

description: A dataset listing the 27 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ictiofauna asociada a ecosistemas marinos de Buenaventura, Valle del Cauca. EPA-IIAP 2019"
 ]
}

 The dataset's 27 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067296-240626123714530/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.26678969
title: Additional file 1 of tRNAGlu-derived fragments from embryonic extracellular vesicles modulate bovine embryo hatching

description: Additional file 1: Table S1. Differentially expressed tsRNAs between blastocyst-EV group and non-blastocyst-EV group. Table S2. Differentially expressed genes between control group and antagomir group.
DOI: 10.6084/m9.figshare.26678969.v1
title: Additional file 1 of tRNAGlu-derived fragments from embryonic extracellular vesicles modulate bovine embryo hatching

description: Additional file 1: Table S1. Differentially expressed tsRNAs between blastocyst-EV group and non-blastocyst-EV group. Table S2. Differentially expressed genes between control group and antagomir group.
DOI: 10.15468/dl.hbzdpu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.636752 -32.629746, 148.636752 -32.64322, 148.645735 -32.64322, 148.645735 -32.640975, 148.650227 -32.640975, 148.650227 -32.636483, 148.643489 -32.636483, 148.643489 -32.634237, 148.641243 -32.634237, 148.641243 -32.629746, 148.636752 -32.629746)), ((148.650227 -32.640975, 148.650227 -32.64322, 148.652472 -32.64322, 148.652472 -32.640975, 148.650227 -32.640975)), ((148.652472 -32.64322, 148.652472 -32.649958, 148.656964 -32.649958, 148.656964 -32.64322, 148.652472 -32.64322)), ((148.656964 -32.649958, 148.656964 -32.656695, 148.652472 -32.656695, 148.652472 -32.661187, 148.650227 -32.661187, 148.650227 -32.665678, 148.656964 -32.665678, 148.656964 -32.661187, 148.65921 -32.661187, 148.65921 -32.649958, 148.656964 -32.649958)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067309-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26571085
title: Additional file 2 of Targeted plasma proteomics reveals signatures discriminating COVID-19 from sepsis with pneumonia

description: Additional file 2: Table S1. Statistical comparisons of clinical data. Table S2. Statistical comparisons of patient characteristics. Table S3. NPX values of proteins measured by PEA. Table S4. Statistical comparisons of protein plasma levels between the cohorts and healthy. Table S5. Statistical comparison and fold change of protein levels between COVID-19, all CAP and other Sepsis groups. Table S6. Coefficients of limma model comparing protein levels of COVID-19 and Sepsis cohorts adjusting for confounders. Table S7. Levels of plasma proteins part of the coagulation cascade. Table S8. Statistical comparisons of protein plasma levels in the coagulation cascade between all cohorts.
DOI: 10.6084/m9.figshare.26607883.v1
title: Additional file 3 of A 16-year retrospective study of vascular anomalies in the head and neck region

description: Additional file 3. ISSVAclassification. Table shows the classification of the vascular anomaliesaccording to the “International Society for the Study of Vascular Anomalies”(ISSVA) as presented in 2018.
DOI: 10.6084/m9.figshare.26607898
title: Additional file 8 of A 16-year retrospective study of vascular anomalies in the head and neck region

description: Additional file 8. Departmentsinvolved in treatment(planning). List of departments involved in treatment (planning),as well as the number of times each department was involved (N and %).