cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1924189.08fu
title: SH1924189.08FU

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/sh1924190.08fu
title: SH1924190.08FU

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/sh1924191.08fu
title: SH1924191.08FU

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/sh1924192.08fu
title: SH1924192.08FU

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/sh1924193.08fu
title: SH1924193.08FU

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/sh1924194.08fu
title: SH1924194.08FU

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/sh1924195.08fu
title: SH1924195.08FU

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.9640760
title: rbspa_ect-elec-L3_20130827_v1.0.0.cdf

description: The combination of MagEIS-HOPE differential flux data
DOI: 10.6084/m9.figshare.16960367.v1
title: Additional file 1 of Trait correlated expression combined with eQTL and ASE analyses identified novel candidate genes affecting intramuscular fat

description: Additional file 1: Supplementary Table S1. The result of correlation analysis between gene expression level and IMF content
DOI: 10.6084/m9.figshare.19581801
title: Additional file 4 of Gut microbiome signatures linked to HIV-1 reservoir size and viremia control

description: Additional file 3: Table S1. List of differentially expressed genes between controllers and non-controllers at baseline (adjusted p-value &lt;0.1and log2 FoldChange = 0). Table S2. Detailed information of differentially expressed genes (DEGs) between controllers and non-controllers at baseline (adjusted p-value &lt;0.1 and log2 FoldChange = 0). Table S3. GO terms from enrichment analysis (biological process) based on upregulated genes in viremic controllers (n. transcripts =15). Table S4. Enriched GO biological process terms of host transcripts significantly correlated with the ratio Bacteroidales/Clostridiales. Table S5. Enriched GO biological process terms of transcripts (n=453) significantly correlated with the ratio Bacteroidales/Clostridiales and viral reservoir (CA HIV-1 RNA and HIV-1 DNA). Table S6. Summary of shotgun metagenomics sequencing yield from longitudinally-collected fecal samples. Statistics of reads mapped to integrated gene catalog (IGC) are also shown.
DOI: 10.6084/m9.figshare.16435858
title: Additional file 1 of Long non-coding RNA TUG1 knockdown promotes autophagy and improves acute renal injury in ischemia-reperfusion-treated rats by binding to microRNA-29 to silence PTEN

description: Additional file 1: Supplementary Figures S1, S2 and S3 Flow chart of cell experiments and animal experiments
DOI: 10.7910/dvn/iylduw
title: Replication Data for: The Socio-Economic Impact of the COVID-19 Pandemic on Syrian Refugees in Turkey

description: Building upon empirical research, this study examines the socio-economic impact of the COVID-19 on Syrian refugees in Turkey by analysing its implications on employment, livelihood opportunities and social cohesion. More specifically, it focuses on the experiences of Syrian refugees to examine the ways in which refugees exert their agency to cope with the structural constraints when faced with ‘multiple crises’ in host countries, intersecting with the dynamics of a ‘normalised refugee crisis’. Our findings from fieldwork conducted in top six refugee-hosting cities reveal that loss of jobs, limited access to decent work, increased dependency on external financial assistance, and exposure to social exclusion have been some of the most acute effects of the pandemic on refugees. Meanwhile, the perceived effect the refugees have on the host community’s welfare trigger problems impeding social cohesion. All in all, the study intends to highlight the impact of the pandemic beyond its global health crisis dimension by addressing the structural vulnerability of refugees causing them to be excluded from social protection, which highlights the importance of providing an enabling environment for socio-economic self-reliance.
DOI: 10.6084/m9.figshare.16960234.v1
title: Additional file 1 of Characterization of phytohormone and transcriptome profiles during protocorm-like bodies development of Paphiopedilum

description: Additional file 1: Supplemental Table S1. Overview of de novo assembly. Supplemental Table S2. Annotated genes related to IAA metabolism and signaling. Supplemental Table S3. DEGs involved in jasmonic acid, brassinosteroid, ethylene, zeatin, salicylic acid and abscisic acid metabolism and signaling transduction. Supplemental Table S4. Annotated genes related to somatic embryogenesis. Supplemental Table S5. DEGs involved in photosynthesis. Supplemental Table S6. Primers used in the reference genes selection.
DOI: 10.6084/m9.figshare.16435885
title: Additional file 2 of Deterministic transition of enterotypes shapes the infant gut microbiome at an early age

description: Additional file 2. Reference List of Datasets. Reference list of datasets included in this study.
DOI: 10.6084/m9.figshare.13297429
title: Additional file 4 of IRF-1 expressed in the inner cell mass of the porcine early blastocyst enhances the pluripotency of induced pluripotent stem cells

description: Additional file 4: Table S3. Primers for qRT-PCR and RT-PCR.
DOI: 10.6084/m9.figshare.14870423
title: Additional file 2 of SINE jumping contributes to large-scale polymorphisms in the pig genomes

description: Additional file 2:
DOI: 10.6084/m9.figshare.9640952
title: Additional file 2: of Disease trajectories and mortality among women diagnosed with breast cancer

description: Combined ICD-10 codes used for disease identification. (XLSX 61 kb)
DOI: 10.6084/m9.figshare.9640952.v1
title: Additional file 2: of Disease trajectories and mortality among women diagnosed with breast cancer

description: Combined ICD-10 codes used for disease identification. (XLSX 61 kb)
DOI: 10.6084/m9.figshare.13297458
title: Additional file 1 of Reversibility of hAT-MSCs phenotypic and metabolic changes after exposure to and withdrawal from HCC-conditioned medium through regulation of the ROS/MAPK/HIF-1α signaling pathway

description: Additional file 1: Figure S1. Effect of SB203580 on cell phenotype.
DOI: 10.6084/m9.figshare.13297458.v1
title: Additional file 1 of Reversibility of hAT-MSCs phenotypic and metabolic changes after exposure to and withdrawal from HCC-conditioned medium through regulation of the ROS/MAPK/HIF-1α signaling pathway

description: Additional file 1: Figure S1. Effect of SB203580 on cell phenotype.
DOI: 10.6084/m9.figshare.9640955
title: Additional file 1: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S1. The predicted secreted proteins of nine smut fungus. (XLSX 67 kb)
DOI: 10.6084/m9.figshare.9640955.v1
title: Additional file 1: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S1. The predicted secreted proteins of nine smut fungus. (XLSX 67 kb)
DOI: 10.6084/m9.figshare.9640958
title: Additional file 2: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S2. The 36 randomly selected predicted effectors from 131 predicted effectors. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.9640958.v1
title: Additional file 2: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S2. The 36 randomly selected predicted effectors from 131 predicted effectors. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.9640964
title: Additional file 3: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S3. The sequence of smut_2965, smut_5844, and potential interacting proteins with smut_5844. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.9640964.v1
title: Additional file 3: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S3. The sequence of smut_2965, smut_5844, and potential interacting proteins with smut_5844. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.9640967
title: Additional file 4: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S4. The primer sequence of two effector genes. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.9640967.v1
title: Additional file 4: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S4. The primer sequence of two effector genes. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.9640970
title: Additional file 5: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S5. The sequence of mutated genes. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.9640970.v1
title: Additional file 5: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S5. The sequence of mutated genes. (XLSX 9 kb)
DOI: 10.25402/cer.14883852
title: Supplementary Table 1. The constructed prediction equations from the multiple regression analyses.

description: Supplementary Table 1. The constructed prediction equations from the multiple regression analyses.
DOI: 10.6084/m9.figshare.19588965.v1
title: Additional file 4 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 4: Table S4. Codon feature of the 20 Swertia plastomes.
DOI: 10.6084/m9.figshare.19588980
title: Additional file 7 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 7: Table S7. Results of selective pressure analysis.
DOI: 10.6084/m9.figshare.19588950.v1
title: Additional file 1 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 1: Table S1. Basic information of 11 newly sequenced Swertia plastomes.
DOI: 10.6084/m9.figshare.19588962
title: Additional file 3 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 3: Table S3. RSCU values of protein-coding genes of the 20 Swertia plastomes.
DOI: 10.6084/m9.figshare.19588974.v1
title: Additional file 6 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 6: Table S6. Information of the pairwise sequence divergence (Pi) of the 20 Swertia plastomes.
DOI: 10.6084/m9.figshare.19588980.v1
title: Additional file 7 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 7: Table S7. Results of selective pressure analysis.
DOI: 10.6084/m9.figshare.9640976
title: Additional file 6: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S6. The primer sequence of qRT-PCR. (XLSX 8 kb)
DOI: 10.6084/m9.figshare.9640976.v1
title: Additional file 6: of Comparative secretome analysis of different smut fungi and identification of plant cell death-inducing secreted proteins from Tilletia horrida

description: Table S6. The primer sequence of qRT-PCR. (XLSX 8 kb)
DOI: 10.6084/m9.figshare.14870429.v1
title: Additional file 4 of SINE jumping contributes to large-scale polymorphisms in the pig genomes

description: Additional file 4:
DOI: 10.6084/m9.figshare.14870429
title: Additional file 4 of SINE jumping contributes to large-scale polymorphisms in the pig genomes

description: Additional file 4:
DOI: 10.6084/m9.figshare.14870423.v1
title: Additional file 2 of SINE jumping contributes to large-scale polymorphisms in the pig genomes

description: Additional file 2:
DOI: 10.6084/m9.figshare.19588968
title: Additional file 5 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 5: Table S5. The repeat sequence distribution in the 20 Swertia plastomes.
DOI: 10.6084/m9.figshare.19588986
title: Additional file 8 of Plastome structure, phylogenomics and evolution of plastid genes in Swertia (Gentianaceae) in the Qing-Tibetan Plateau

description: Additional file 8: Table S8. Pairwise genetic distance of the 20 Swertia plastomes.
DOI: 10.21233/zg34-7293
title: Swiss Trap S1 pollen surface sample dataset

description: Raw data for the Swiss Trap S1 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ktf5-pc21
title: Big Quill diatom surface sample dataset

description: Raw data for the Big Quill diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/x6y4-rp27
title: Ahmik diatom surface sample dataset

description: Raw data for the Ahmik diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jf11-2509
title: Lake St. Croix Prescott diatom surface sample dataset

description: Raw data for the Lake St. Croix Prescott diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/rzrm-ra62
title: E. Coteau diatom surface sample dataset

description: Raw data for the E. Coteau diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/tr19-fp16
title: Beaver_PIRO diatom surface sample dataset

description: Raw data for the Beaver_PIRO diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/y4ke-py60
title: Lindholmhøgda 1 pollen surface sample dataset

description: Raw data for the Lindholmhøgda 1 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/d2s2-a012
title: Lindedal 3 pollen dataset

description: Raw data for the Lindedal 3 pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8mnj-vq96
title: Quartelas rivulet-branch pollen surface sample dataset

description: Raw data for the Quartelas rivulet-branch pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/07nb-9a79
title: HU91-045-094 dinoflagellates dataset

description: Raw data for the HU91-045-094 dinoflagellates dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vpey-nb16
title: Free Peoples Lake water chemistry dataset

description: Raw data for the Free Peoples Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zt6k-fk27
title: Amersfoort pollen dataset

description: Raw data for the Amersfoort pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wktw-x022
title: Gjöavatnet pollen surface sample dataset

description: Raw data for the Gjöavatnet pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/f52n-sq58
title: Blanchard Lake diatom surface sample dataset

description: Raw data for the Blanchard Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/643s-q465
title: S margin of Lagoa do Peixão pollen surface sample dataset

description: Raw data for the S margin of Lagoa do Peixão pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/g78s-rh12
title: Bennett Lake diatom bottom sample dataset

description: Raw data for the Bennett Lake diatom bottom sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mzsy-rg06
title: near Curral do Vento direction Poios Brancos pollen surface sample dataset

description: Raw data for the near Curral do Vento direction Poios Brancos pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3n36-tq49
title: Hungry water chemistry dataset

description: Raw data for the Hungry water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/n6xj-yw70
title: Swiss Trap R2 pollen surface sample dataset

description: Raw data for the Swiss Trap R2 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wp16-nm77
title: Swiss Trap G08 pollen surface sample dataset

description: Raw data for the Swiss Trap G08 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.