cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1104290.10fu
title: SH1104290.10FU

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/sh1104291.10fu
title: SH1104291.10FU

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/sh1104292.10fu
title: SH1104292.10FU

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/sh1104294.10fu
title: SH1104294.10FU

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/sh1104296.10fu
title: SH1104296.10FU

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/sh1104301.10fu
title: SH1104301.10FU

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/sh1104304.10fu
title: SH1104304.10FU

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/sh1104306.10fu
title: SH1104306.10FU

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.26893270
title: ScInfeRDB: single cell RNA-seq reference datasets

description: ScInfeRDB: single-cell RNA-seq reference datasets
DOI: 10.15468/dl.3xbetp
title: Occurrence Download

description: A dataset containing 47591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Euproctis chrysorrhoea Linnaeus, 1758)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47591 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011923-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he6b8c
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrias jiangxiensis Chai, Lu, Yi, Dai, Weng, Di, Peng, Tang, Shan, Wang, Liu, Zhao, Jin, Cao, Lu, Luo, Murphy, Zhang & Che, 2022"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011926-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsveye
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megabruchidius dorsalis (Fåhraeus, 1839))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 220 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011925-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtrcxr
title: Occurrence Download

description: A dataset containing 372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cadra figulilella (Gregson, 1871)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 372 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011927-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf6vnx
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium altaicum Pall."
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011924-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d955fu
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Andrias davidianus (Blanchard, 1871)"
 ]
}

 The dataset includes 172 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011930-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b95sne
title: Occurrence Download

description: A dataset containing 40402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rana temporaria Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 40402 records from 315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011929-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fue8a
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium tanguticum Regel"
 ]
}

 The dataset includes 81 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011931-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tshvd
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megabruchidius tonkineus (Pic, 1904))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 91 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011932-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfx93x
title: Occurrence Download

description: A dataset containing 40052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leucoma salicis Linnaeus, 1758)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40052 records from 202 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011933-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnn787
title: Occurrence Download

description: A dataset containing 567879 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Convolvulus arvensis L."
 ]
}

 The dataset includes 567879 records from 3554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011850-250310093411724/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.20459223.v2
title: Data for plotting curves (Fig.1F,G, Fig. S1, Fig. S2, Fig. S4A,B, Fig. S6A,B, and Fig. S8).

description: The structure contains mean and standard errors of the mean used to plot curves in Fig.1F,G, Fig. S1, Fig. S2, Fig. S4A,B, Fig. S6A,B, and Fig. S8. The “.mat” file contains 4 cell structures. <br> Mean_line: mean. MeanSE_line: standard error of the mean. <br> For cognitive load conditions: Dim.Mean_Line {1,Parameter} {1,Monkey} {1, Cognitive_Load} Dim.MeanSE_Line {1,Parameter} {1,Monkey} {1, Cognitive_Load } <br> For motivational context conditions: Tok.Mean_Line {1,Parameter} {1,Monkey} {1, Motivational_context } Tok.MeanSE_Line {1,Parameter} {1,Monkey} {1, Motivational_context } <br> For gain-loss conditions: TUSGL.Mean_Line {1,Parameter} {1,Monkey} {1, TUS_Condition } TUSGL.MeanSE_Line {1,Parameter} {1,Monkey} {1, TUS_Condition } <br> For gain-only conditions: <br> TUSG.Mean_Line {1,Parameter} {1,Monkey} {1, TUS_Condition } TUSG.MeanSE_Line {1,Parameter} {1,Monkey} {1, TUS_Condition } <br> Cell parameters are: “Parameter”: 1,2,3. “GLM_Fit”,”information sampling”, and “Accuracy”, “Monkey”: 1,2,3. “Monkey W”, “Monkey I”, both monkeys. “Motivational_context”: 1,2. “Gain-Loss”, “Gain-only” “TUS_Condition”: 1,2,3,4. “Sham-ACC”, “TUS-ACC”, “Sham-STR”, “TUS-STR”. “Cognitive_Load”: 1,2,3. <br>
DOI: 10.3535/dsk-sdf-awk
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.4962938.v1
title: Fig5.sav

description: Phase Probability results for MODIS, VIIRS, and PACE sensor shown in Figure 5.
DOI: 10.3535/bwp-gg7-jck
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cln-2tj-0b6
title: †Leangella Öpik, 1933

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cqj-54t-qgt
title: †Leangella Öpik, 1933

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rr5-c2q-c51
title: †Leangella Öpik, 1933

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14447334.v1
title: Recognition results

description: Ĵ进行数据验证
DOI: 10.6084/m9.figshare.23609262.v2
title: Empty

description: Empty
DOI: 10.6084/m9.figshare.25383304.v1
title: <b>Tenorio_MAYEX_Supp_data</b>

description: READMEExperimental protocols, datasets, scripts, sequences, tables, etc. for Tenorio et al work titled: MAYEX is an old long non-coding RNA recruited for X chromosome dosage compensation in lizards.The file Anolis_carolinensis.AnoCar2.0.dna.chrX.ordered.fa.gz contains the assembled chrX of A carolinenesis.The folder ChAR-seq.zip contains protocols, datasets, etc., regarding the ChAR-seq experiment.The folder CHART-MS_v2.zip contains protocols, datasets, etc., regarding the protein pulldown and Mass Spectrometry experiments.The folder ChIP-seq.zip contains datasets, etc., regarding the H4K16 ChIP-seq data.The folder CRISPRi-seq_v2.zip contains datasets, etc., regarding the CRISPR experiments.The folder HiC-seq.zip contains datasets, etc., regarding the HI-C experiments.The file MAYEX_A.carolinensis.fa.gz contains the nucleotide sequence of MAYEX in A carolinensisThe folder Mayex_other_pleurodonts_v2.zip contains the sequences and alignments of MAYEX in other pleurodont species, including the Corytophanidae Basiliscus vittatus.The folder RNA-seq.zip contains datasets, etc., regarding the RNA-seq data.The folder RNAi.zip contains datasets, etc., regarding the RNAi experiments.The file Scaffolds_ChrX_Acarolinensis.xlsx.gz contains the Scaffolds known to be part of the X chromosome of A carolinensis.The file Xchr_Acarolinenesis_alignement_Xchr_Asagrei.xlsx.gz contains the genomic alignment between the X chromosome of A carolinensis and the X chromosome of A sagrei.
DOI: 10.6084/m9.figshare.3381295.v1
title: Method development and hydrolytic degradation study of doxofylline by rp-hplc and lc-ms/ms

description: A simple, rapid and accurate RP-HPLC method was developed for the determination of doxofylline and photolyticdegradation product. The method showed a linear response for concentrations in the range of 1-200 g/ml usingacetonitrile: formic acid (90: 10); pH-3.0 as the mobile phase with detection at 274 nm and a flow rate of 1 ml/min and retention time 2.9 min. The method was statistically validated for accuracy, precision, linearity, ruggedness,robustness, forced degradation, solution stability and selectivity. Quantitative and recovery studies of the dosage form were also carried out and analyzed; the % RSD from recovery studies was found to be less than 1. Due to simplicity, rapidity and accuracy of the method, we believe that the method will be useful for routine quality control analysis. The hydrolytic degradation product as well as pathway was characterized by LC-MS/MS.RESULT AND DISCUSSION:A sensitive, selective, precise and accurate highperformance liquid chromatographic method of analysis ofdoxofylline in both as bulk drug and in formulation wasdeveloped and validated. The mobile phase consisted ofacetonitril: 0.05M formic Acid (90: 10v/v); pH-3.0. Thedetection wavelength was 274nm. This system was found to give the sharp peak for doxofylline (RT-2.9). The methodwas validated as per ICH guideline (table 1). Stabilityindicating assay method in which hydrolytic stresscondition was used for quantitative estimation ofdoxofylline in tablet formulation and identification ofhydrolytic degradation product The separation of drugfrom its degradation product were optimized by varying theratio &/or nature of organic modifier. Finally method wasdeveloped using same mobile phase composed ofacetonitrile: formic acid (90: 10); pH-3.0, in that both drugand degradation product showing good elution RT-2.9(Doxofylline) and RT-3.68 (Hydrolytic degradationproduct) and m/e-229 (fig 4). The hydrolytic degradationproduct and pure drug were identified by LC-MS/MS inorder to establish hydrolytic degradation pathway (fig 5 and6).<br>
DOI: 10.3535/mt4-bpm-r6q
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z4z-br4-4hj
title: †Leangella Öpik, 1933

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24760671.v2
title: Rawdata [<b>Codon usage bias: a potential factor affecting VGLUT developmental expression and protein evolution</b>]

description: Instruction: More and more attention has been paid to the role of synonymous substitution in evolution, in which codon usage preference can affect gene expression distribution and protein structure and function. Vesicular glutamate transporter (VGLUT) consists of three isoforms, among which VGLUT3 is significantly different from other VGLUTs in functional importance, expression level, and distribution range, whose reason is still unclear. This study sought to analyze the role of codon preference in VGLUT differentiation.Method: To conduct an evolutionary analysis of the three VGLUTs, this paper uses bioinformatics research methods to analyze the coding sequences of the three VGLUTs in different species and compare the codon usage patterns. Furthermore, the differences among the three VGLUTs were analyzed by combining functional importance, expression level, distribution range, gene structure, protein relationship network, expression at specific developmental stages, and evolutionary relationship tree, and the influence of codon usage pattern was explored.Result: The results showed that the greater the VGLUT codon usage preference was, the less important the gene function was, the lower the expression specificity was, and the longer the time needed for development to maturity was. VGLUT3 has the largest interspecies evolutionary distance, VGLUT2 has the smallest interspecies evolutionary distance, VGLUT3 has a large evolutionary distance with the rest of the VGLUT, and the degree of codon usage preference of VGLUT is positively correlated with the rate of protein evolution.Conclusion: Codon usage preference is a potential factor affecting VGLUT developmental expression and protein evolution.
DOI: 10.3535/ka5-6mr-d0w
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.