cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0202243.10fu
title: SH0202243.10FU

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/sh0202244.10fu
title: SH0202244.10FU

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/sh0202245.10fu
title: SH0202245.10FU

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.q8c7yw
title: Occurrence Download

description: A dataset containing 1487868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1487868 records from 475 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017089-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u7wahr
title: Occurrence Download

description: A dataset containing 48712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-9959.0",
 "Geometry POLYGON((-145.54687 10.54688,-38.32031 10.54688,-38.32031 59.76563,-145.54687 59.76563,-145.54687 10.54688))",
 "TaxonKey is Odocoileus virginianus (Zimmermann, 1780)"
 ]
}

 The dataset includes 48712 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198882-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwritv
title: Occurrence Download

description: A dataset containing 52410 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Vascular Plant Collection at the Botanische Staatssammlung München"
 ]
}

 The dataset includes 52410 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017100-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zej579
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophis scalaris Cope, 1861"
 ]
}

 The dataset includes 773 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089178-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttfue3
title: Occurrence Download

description: A dataset containing 1359 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Buddleja madagascariensis Lam."
 ]
}

 The dataset includes 1359 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057372-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs87dy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chorisoneura parishi Rehn, 1918)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041390-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekm898
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Oriastrum gnaphalioides (J.Rémy) Wedd."
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0098406-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxs65l
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Trachymela sloanei (Blackburn, 1896)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 384 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017103-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t9s8q
title: Occurrence Download

description: A dataset containing 9103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Lontra canadensis (Schreber, 1777)"
 ]
}

 The dataset includes 9103 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058161-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyvjps
title: Occurrence Download

description: A dataset containing 45684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphagnum palustre L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45684 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140936-200613084148143/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.26703700
title: Additional file 6 of Fasting upregulates the monocarboxylate transporter MCT1 at the rat blood-brain barrier through PPAR δ activation

description: Supplementary Table S5 Primers used for qRT-PCR (5’ to 3’ sequence)
DOI: 10.6084/m9.figshare.26703700.v1
title: Additional file 6 of Fasting upregulates the monocarboxylate transporter MCT1 at the rat blood-brain barrier through PPAR δ activation

description: Supplementary Table S5 Primers used for qRT-PCR (5’ to 3’ sequence)
DOI: 10.6084/m9.figshare.25566282
title: Additional file 1 of Pasteurella multocida activates apoptosis via the FAK-AKT-FOXO1 axis to cause pulmonary integrity loss, bacteremia, and eventually a cytokine storm

description: Additional file 1: Original RNA-seq data used in this study.
DOI: 10.6084/m9.figshare.25566282.v1
title: Additional file 1 of Pasteurella multocida activates apoptosis via the FAK-AKT-FOXO1 axis to cause pulmonary integrity loss, bacteremia, and eventually a cytokine storm

description: Additional file 1: Original RNA-seq data used in this study.
DOI: 10.6084/m9.figshare.25566386
title: Additional file 2 of scifi-ATAC-seq: massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing

description: Additional file 2.
DOI: 10.6084/m9.figshare.25566386.v1
title: Additional file 2 of scifi-ATAC-seq: massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing

description: Additional file 2.
DOI: 10.6084/m9.figshare.26703739
title: Additional file 4 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 4: Supplementary Table 1. Univariate and multivariate Cox models for overall survival of each characteristic.
DOI: 10.6084/m9.figshare.26703739.v1
title: Additional file 4 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 4: Supplementary Table 1. Univariate and multivariate Cox models for overall survival of each characteristic.
DOI: 10.6084/m9.figshare.26703742
title: Additional file 5 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 5: Supplementary Table 2. Univariate and multivariate Cox models for disease-free survival of each characteristic.
DOI: 10.6084/m9.figshare.26703742.v1
title: Additional file 5 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 5: Supplementary Table 2. Univariate and multivariate Cox models for disease-free survival of each characteristic.
DOI: 10.6084/m9.figshare.26703745
title: Additional file 6 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 6: Supplementary Table 3. Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in T3 stage patients.
DOI: 10.6084/m9.figshare.26703745.v1
title: Additional file 6 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 6: Supplementary Table 3. Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in T3 stage patients.
DOI: 10.6084/m9.figshare.26703748.v1
title: Additional file 7 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 7: Supplementary Table 4. Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in T4 stage patients.
DOI: 10.6084/m9.figshare.26703751
title: Additional file 8 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 8: Supplementary Table 5. The association between the depth of PNI and recurrence, metastasis in stage II CRC patients.
DOI: 10.6084/m9.figshare.26703748
title: Additional file 7 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 7: Supplementary Table 4. Univariate and multivariate Cox models evaluated the effect of the depth of PNI on OS and DFS in T4 stage patients.
DOI: 10.6084/m9.figshare.26703751.v1
title: Additional file 8 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 8: Supplementary Table 5. The association between the depth of PNI and recurrence, metastasis in stage II CRC patients.
DOI: 10.6084/m9.figshare.26703754
title: Additional file 9 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 9: Supplementary Table 6. The association between the depth of PNI and the site of metastasis in stage II CRC patients.
DOI: 10.6084/m9.figshare.26703754.v1
title: Additional file 9 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 9: Supplementary Table 6. The association between the depth of PNI and the site of metastasis in stage II CRC patients.
DOI: 10.6084/m9.figshare.26703757
title: Additional file 10 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 10: Supplementary Table 7. Univariate and multivariate logistics models evaluated the effect of the depth of PNI on metastasis in stage II CRC patients.
DOI: 10.6084/m9.figshare.26703757.v1
title: Additional file 10 of The depth of perineural invasion is an independent prognostic factor for stage II colorectal cancer

description: Additional file 10: Supplementary Table 7. Univariate and multivariate logistics models evaluated the effect of the depth of PNI on metastasis in stage II CRC patients.
DOI: 10.6084/m9.figshare.25566395
title: Additional file 2 of A comprehensive benchmark of graph-based genetic variant genotyping algorithms on plant genomes for creating an accurate ensemble pipeline

description: Additional file 2. Supplementary tables: Supplementary tables S5-S13 and S16-S18.
DOI: 10.6084/m9.figshare.25566395.v1
title: Additional file 2 of A comprehensive benchmark of graph-based genetic variant genotyping algorithms on plant genomes for creating an accurate ensemble pipeline

description: Additional file 2. Supplementary tables: Supplementary tables S5-S13 and S16-S18.
DOI: 10.6084/m9.figshare.25566256
title: Additional file 1 of Association of haemato-biochemical indices and blood composite ratios with microfilaridermia in Onchocerciasis patients

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25566256.v1
title: Additional file 1 of Association of haemato-biochemical indices and blood composite ratios with microfilaridermia in Onchocerciasis patients

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.25566406
title: Additional file 2 of Association of haemato-biochemical indices and blood composite ratios with microfilaridermia in Onchocerciasis patients

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.25566406.v1
title: Additional file 2 of Association of haemato-biochemical indices and blood composite ratios with microfilaridermia in Onchocerciasis patients

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26703907
title: Additional file 4 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 4: Table S1. Endogenous expression of select genes in the ovary, vagina, uterine horn, and pituitary gland whole tissue from Adgra3-/- and Adgra3-/-CV mice compared to Adgra3+/+ mice at 8-10 weeks.
DOI: 10.6084/m9.figshare.26703907.v1
title: Additional file 4 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 4: Table S1. Endogenous expression of select genes in the ovary, vagina, uterine horn, and pituitary gland whole tissue from Adgra3-/- and Adgra3-/-CV mice compared to Adgra3+/+ mice at 8-10 weeks.
DOI: 10.6084/m9.figshare.26703910
title: Additional file 5 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 5: Table S2. Plasma hormone levels collected from Adgra3+/+, Adgra3-/-, and Adgra3-/-CV females at 8–10 weeks and P15.
DOI: 10.6084/m9.figshare.26703910.v1
title: Additional file 5 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 5: Table S2. Plasma hormone levels collected from Adgra3+/+, Adgra3-/-, and Adgra3-/-CV females at 8–10 weeks and P15.
DOI: 10.6084/m9.figshare.26703913
title: Additional file 6 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 6: Table S3. Endogenous expression of select genes in the ovary, vagina, uterus, and pituitary of Adgra3-/- mice compared to Adgra3+/+ mice at P15.
DOI: 10.6084/m9.figshare.26703913.v1
title: Additional file 6 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 6: Table S3. Endogenous expression of select genes in the ovary, vagina, uterus, and pituitary of Adgra3-/- mice compared to Adgra3+/+ mice at P15.
DOI: 10.6084/m9.figshare.26703919
title: Additional file 8 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 8: Table S4. Primer details.
DOI: 10.6084/m9.figshare.26703919.v1
title: Additional file 8 of High incidence of imperforate vagina in ADGRA3-deficient mice

description: Additional file 8: Table S4. Primer details.
DOI: 10.6084/m9.figshare.25572556.v1
title: Additional file 1 of Chloroplast genomes of Caragana tibetica and Caragana turkestanica: structures and comparative analysis

description: Additional file 1: Table S1. Types and numbers of Repeats in chloroplast genome of 9 Caragana spices. Table S2. Types and numbers of SSR in chloroplast genome of 9 Caragana spices. Table S3. Distribution of SSRs in cp genome of C. tibetica and C.turkestanica. Table S4. Analysis of coding ability and codon preference of chloroplast genome of C. tibetica and C.turkestanica.
DOI: 10.6084/m9.figshare.25572556
title: Additional file 1 of Chloroplast genomes of Caragana tibetica and Caragana turkestanica: structures and comparative analysis

description: Additional file 1: Table S1. Types and numbers of Repeats in chloroplast genome of 9 Caragana spices. Table S2. Types and numbers of SSR in chloroplast genome of 9 Caragana spices. Table S3. Distribution of SSRs in cp genome of C. tibetica and C.turkestanica. Table S4. Analysis of coding ability and codon preference of chloroplast genome of C. tibetica and C.turkestanica.
DOI: 10.6084/m9.figshare.25572636
title: Additional file 2 of Chloroplast genomes of Caragana tibetica and Caragana turkestanica: structures and comparative analysis

description: Additional file 2: Fig. S1. Amino acid frequencies of the chloroplast genomes of C. tibetica. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S2. Amino acid frequencies of the chloroplast genomes of C. turkestanica. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S3. Amino acid frequencies of the chloroplast genomes of C. arborescens. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S4. Amino acid frequencies of the chloroplast genomes of C. opulens. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S5. Amino acid frequencies of the chloroplast genomes of C. jubata. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S6. Amino acid frequencies of the chloroplast genomes of C. rosea. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S7. Amino acid frequencies of the chloroplast genomes of C. microphylla. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S8. Amino acid frequencies of the chloroplast genomes of C. kozlowii. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon. Fig. S9. Amino acid frequencies of the chloroplast genomes of C. korshinskii. The squares below represent all the codons that encode each type of amino acid; the height of the column above represents the total sum of RSCU values for all codons; the height of each column represents the RSCU value for each codon.