cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19074509.v5
title: Data of Research on Desktop Object Grasping Based on Ellipse Fitting

description: Data of Research on Desktop Object Grasping Based on Ellipse Fitting
DOI: 10.5281/zenodo.6427045
title: AIDA (Archive of Italian radiocarbon DAtes)

description: The archive <strong>AIDA</strong> provides a collation of <strong>4,629</strong> radiocarbon dates from <strong>1,050</strong> archaeological sites in Italy from the Late Mesolithic until Late Antiquity (11 - 1.5 kya BP). These dates have been collected from existing online digital archives, and electronic and print original publications. List of versions: <strong>5.0</strong> 9 April 2022 — 589 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). <strong>4.0</strong> 3 March 2022 — 35 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). <strong>3.0</strong> 13 January 2022 — Removal of some duplicates and 4 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). <strong>2.0</strong> 13 January 2022 — Removal of some duplicates and 4 new dates added (update of the files 'References.txt', 'nerd.csv', and 'Readme.md'). <strong>1.0</strong> 3 August 2021 — First public release of the dataset on Zenodo
DOI: 10.6084/m9.figshare.19074509.v4
title: Data of Research on Desktop Object Grasping Based on Ellipse Fitting

description: Data of Research on Desktop Object Grasping Based on Ellipse Fitting
DOI: 10.48370/ofd/ipfqwv/1xmi2w
title: Betula pendula_korzenie zainfekowane Almillaria gallica oraz Phytophthora cactorum - ekstrakt eterowy.pdf

description: :unav
DOI: 10.48370/ofd/ipfqwv
title: Betula pendula_korzenie zainfekowane Almillaria gallica oraz Phytophthora cactorum - ekstrakt eterowy

description: Betula pendula_korzenie zainfekowane Almillaria gallica oraz Phytophthora cactorum - ekstrakt eterowy
DOI: 10.48370/ofd/lqwdpu/wy913w
title: Puccinia arenariae (Schumacher) Winter F-0325.tif

description: :unav
DOI: 10.48370/ofd/lqwdpu
title: Puccinia arenariae (Schumacher) Winter, 325

description: Fungarium Micromycetes
DOI: 10.48370/ofd/ecpxzw/4me1jt
title: Plasmopara ribicola Schroeter F-0139.tif

description: :unav
DOI: 10.48370/ofd/ecpxzw
title: Plasmopara ribicola J.Schröt., 139

description: Fungarium Micromycetes
DOI: 10.48370/ofd/ukz408/gnvhsh
title: Mycosphaerella filicum (Desmazières) Starbäck F-2700.tif

description: :unav
DOI: 10.48370/ofd/ukz408
title: Mycosphaerella filicum (Desmazières) Starbäck, 2700

description: Fungarium Micromycetes
DOI: 10.48370/ofd/0apmwy
title: Lactarius obscuratus (Lasch: Fr) Fr., 70

description: Fungarium Macromycetes
DOI: 10.48370/ofd/icni0a/jcup4e
title: Rhytisma andromedae (Pers.) Fr. F-3656.tif

description: :unav
DOI: 10.48370/ofd/icni0a
title: Rhytisma andromedae (Pers.) Fr., 3656

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/cszw52/p6lseh
title: Cerambyx elegans (2).JPG

description: :unav
DOI: 10.48370/ofd/cszw52
title: Cerambyx elegans (Dohrn, 1873), C-745

description: Coleoptera collection
DOI: 10.6084/m9.figshare.19588623
title: Additional file 11 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 11. Differential gene expression analysis among rd10 and wild-type cones in cluster C04. Differential gene expression analysis was performed to determine transcriptomic changes in rd10 cones compared to wild types at P21 . All transcripts were additionally checked for significant differential expression in early rod degeneration (Additional file 2) or late rod degeneration (Additional file 3). Avg_logFC values larger than 0 indicate that the gene is upregulated in rd10 cones compared to wild types. DE: differentially expressed.
DOI: 10.6084/m9.figshare.19588623.v1
title: Additional file 11 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 11. Differential gene expression analysis among rd10 and wild-type cones in cluster C04. Differential gene expression analysis was performed to determine transcriptomic changes in rd10 cones compared to wild types at P21 . All transcripts were additionally checked for significant differential expression in early rod degeneration (Additional file 2) or late rod degeneration (Additional file 3). Avg_logFC values larger than 0 indicate that the gene is upregulated in rd10 cones compared to wild types. DE: differentially expressed.
DOI: 10.6084/m9.figshare.19588635
title: Additional file 15 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 15. Primer sequences for quantitative PCR. mt-Co2 and mt-Atp6 primers are from Wall et al. 2015 [102]. mt-Nd4 primers are from El-Merhie et al. 2017 [103].
DOI: 10.6084/m9.figshare.19588638
title: Additional file 16 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 16. Antibodies used for immunofluorescence.
DOI: 10.6084/m9.figshare.19588635.v1
title: Additional file 15 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 15. Primer sequences for quantitative PCR. mt-Co2 and mt-Atp6 primers are from Wall et al. 2015 [102]. mt-Nd4 primers are from El-Merhie et al. 2017 [103].
DOI: 10.6084/m9.figshare.19588638.v1
title: Additional file 16 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 16. Antibodies used for immunofluorescence.
DOI: 10.6084/m9.figshare.19588647
title: Additional file 3 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 3. Marker gene analysis for the single-cell transcriptomic dataset. To determine which transcripts distinguish each cluster in the dataset for cluster annotation, differential gene expression analysis between each cluster and the remainder of the dataset was performed with the Seurat package.
DOI: 10.6084/m9.figshare.19588647.v1
title: Additional file 3 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 3. Marker gene analysis for the single-cell transcriptomic dataset. To determine which transcripts distinguish each cluster in the dataset for cluster annotation, differential gene expression analysis between each cluster and the remainder of the dataset was performed with the Seurat package.
DOI: 10.6084/m9.figshare.19588650
title: Additional file 4 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 4. Early differential gene expression analysis in rods. Wild type rod cluster C01 and rd10 rod cluster C02, which were adjacent in the pseudotime analysis, were compared with differential gene expression analysis to determine transcriptomic differences that occurred with increasing pseudotime values. Avg_logFC values larger than 0 indicate that the gene is upregulated in C02 compared to C01.
DOI: 10.6084/m9.figshare.19588650.v1
title: Additional file 4 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 4. Early differential gene expression analysis in rods. Wild type rod cluster C01 and rd10 rod cluster C02, which were adjacent in the pseudotime analysis, were compared with differential gene expression analysis to determine transcriptomic differences that occurred with increasing pseudotime values. Avg_logFC values larger than 0 indicate that the gene is upregulated in C02 compared to C01.
DOI: 10.6084/m9.figshare.19588653
title: Additional file 5 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 5. Late differential gene expression analysis in rods. rd10 rod cluster C02 and rd10 rod cluster C03, which were adjacent in the pseudotime analysis, were compared with differential gene expression analysis to determine transcriptomic differences that occurred with increasing pseudotime values. Avg_logFC values larger than 0 indicate that the gene is upregulated in C03 compared to C02.
DOI: 10.6084/m9.figshare.19588656
title: Additional file 6 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 6. k-means clustering of significantly DE genes among rod clusters according to expression changes along increasing (binned) pseudotime. Rods were grouped into 16 bins along increasing pseudotime. Expression values for all significantly DE transcripts were averaged in each bin, scaled, and the values were used for k-means clustering (k=4) to cluster transcripts into groups of similar behaviour in pseudotime (and thus progressing degeneration). DE: differentially expressed.
DOI: 10.6084/m9.figshare.19588659
title: Additional file 7 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 7. Association of gene expression to pseudotime values in the rod dataset. To determine which transcripts were associated with pseudotime, we performed a Wald test using the tradeSeq package (associationTest, no log2 fold-change threshold). The expression pattern of each gene in the entire dataset is modeled along pseudotime, and the Wald statistic is calculated to indicate whether the gene is associated with pseudotime. DE: differentially expressed.
DOI: 10.6084/m9.figshare.19588653.v1
title: Additional file 5 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 5. Late differential gene expression analysis in rods. rd10 rod cluster C02 and rd10 rod cluster C03, which were adjacent in the pseudotime analysis, were compared with differential gene expression analysis to determine transcriptomic differences that occurred with increasing pseudotime values. Avg_logFC values larger than 0 indicate that the gene is upregulated in C03 compared to C02.
DOI: 10.6084/m9.figshare.19588659.v1
title: Additional file 7 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 7. Association of gene expression to pseudotime values in the rod dataset. To determine which transcripts were associated with pseudotime, we performed a Wald test using the tradeSeq package (associationTest, no log2 fold-change threshold). The expression pattern of each gene in the entire dataset is modeled along pseudotime, and the Wald statistic is calculated to indicate whether the gene is associated with pseudotime. DE: differentially expressed.
DOI: 10.6084/m9.figshare.19588662
title: Additional file 8 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 8. In silico position weight matrix analysis on transcripts differentially expressed in early degeneration. To determine which transcription factors might be associated with significantly differentially expressed transcripts identified in the early differential gene expression analysis (Additional file 2), we used Enrichr to perform an in silico search for sequence motifs representing transcription factor binding sites in the promoter region (-2000 to + 500 bp of the transcriptional start site) of these genes. The Overlap column refers to the number of genes in the input list (differentially regulated genes; numerator) compared to all genes in the database (denominator) that contain the transcription factor binding motif. P-values were calculated with Fisher’s exact test, and adjusted with the Benjamini-Hochberg method. The Combined Score is log(p-value)*z-score, where z-score is the deviation from the expected rank calculated from many random gene lists [57, 112].
DOI: 10.6084/m9.figshare.19588665
title: Additional file 9 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 9. In silico position weight matrix analysis on transcripts differentially expressed in late degeneration. To determine which transcription factors might be associated with significantly differentially expressed transcripts identified in the late differential gene expression analysis (Additional file 3), we used Enrichr to perform an in silico search for sequence motifs representing transcription factor binding sites in the promoter region (-2000 to + 500 bp of the transcriptional start site) of these genes. The Overlap column refers to the number of genes in the input list (differentially regulated genes; numerator) compared to all genes in the database (denominator) that contain the transcription factor binding motif. P-values were calculated with Fisher’s exact test, and adjusted with the Benjamini-Hochberg method. The Combined Score is log(p-value)*z-score, where z-score is the deviation from the expected rank calculated from many random gene lists [57, 112].
DOI: 10.6084/m9.figshare.19588665.v1
title: Additional file 9 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 9. In silico position weight matrix analysis on transcripts differentially expressed in late degeneration. To determine which transcription factors might be associated with significantly differentially expressed transcripts identified in the late differential gene expression analysis (Additional file 3), we used Enrichr to perform an in silico search for sequence motifs representing transcription factor binding sites in the promoter region (-2000 to + 500 bp of the transcriptional start site) of these genes. The Overlap column refers to the number of genes in the input list (differentially regulated genes; numerator) compared to all genes in the database (denominator) that contain the transcription factor binding motif. P-values were calculated with Fisher’s exact test, and adjusted with the Benjamini-Hochberg method. The Combined Score is log(p-value)*z-score, where z-score is the deviation from the expected rank calculated from many random gene lists [57, 112].
DOI: 10.6084/m9.figshare.19588656.v1
title: Additional file 6 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 6. k-means clustering of significantly DE genes among rod clusters according to expression changes along increasing (binned) pseudotime. Rods were grouped into 16 bins along increasing pseudotime. Expression values for all significantly DE transcripts were averaged in each bin, scaled, and the values were used for k-means clustering (k=4) to cluster transcripts into groups of similar behaviour in pseudotime (and thus progressing degeneration). DE: differentially expressed.
DOI: 10.6084/m9.figshare.19588662.v1
title: Additional file 8 of Single-cell RNA sequencing of the retina in a model of retinitis pigmentosa reveals early responses to degeneration in rods and cones

description: Additional file 8. In silico position weight matrix analysis on transcripts differentially expressed in early degeneration. To determine which transcription factors might be associated with significantly differentially expressed transcripts identified in the early differential gene expression analysis (Additional file 2), we used Enrichr to perform an in silico search for sequence motifs representing transcription factor binding sites in the promoter region (-2000 to + 500 bp of the transcriptional start site) of these genes. The Overlap column refers to the number of genes in the input list (differentially regulated genes; numerator) compared to all genes in the database (denominator) that contain the transcription factor binding motif. P-values were calculated with Fisher’s exact test, and adjusted with the Benjamini-Hochberg method. The Combined Score is log(p-value)*z-score, where z-score is the deviation from the expected rank calculated from many random gene lists [57, 112].
DOI: 10.6084/m9.figshare.19588671
title: Additional file 10 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 10. S10. Input matrix for inflorescence type analysis.
DOI: 10.6084/m9.figshare.19588677.v1
title: Additional file 11 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 11. S11. Input matrix for the smallest flower size analysis.
DOI: 10.6084/m9.figshare.19588671.v1
title: Additional file 10 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 10. S10. Input matrix for inflorescence type analysis.
DOI: 10.6084/m9.figshare.19588677
title: Additional file 11 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 11. S11. Input matrix for the smallest flower size analysis.
DOI: 10.6084/m9.figshare.19588680.v1
title: Additional file 12 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 12. S12. Input matrix for the largest flower size analysis.
DOI: 10.6084/m9.figshare.19588680
title: Additional file 12 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 12. S12. Input matrix for the largest flower size analysis.
DOI: 10.6084/m9.figshare.19588683
title: Additional file 13 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 13. S13. Input matrix for the smallest height analysis.
DOI: 10.6084/m9.figshare.19588686.v1
title: Additional file 14 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 14. S14. Input matrix for the largest height analysis.
DOI: 10.6084/m9.figshare.19588689
title: Additional file 15 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 15. S15. Input matrix for habit analysis.
DOI: 10.6084/m9.figshare.19588683.v1
title: Additional file 13 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 13. S13. Input matrix for the smallest height analysis.
DOI: 10.6084/m9.figshare.19588686
title: Additional file 14 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 14. S14. Input matrix for the largest height analysis.
DOI: 10.6084/m9.figshare.19588689.v1
title: Additional file 15 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 15. S15. Input matrix for habit analysis.
DOI: 10.6084/m9.figshare.19588698
title: Additional file 2 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 2. S2. Lagrange results of ancestral area reconstructions.
DOI: 10.6084/m9.figshare.19588698.v1
title: Additional file 2 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 2. S2. Lagrange results of ancestral area reconstructions.
DOI: 10.6084/m9.figshare.19588701
title: Additional file 3 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 3. S3. Input matrix for ancestral area analysis.
DOI: 10.6084/m9.figshare.19588701.v1
title: Additional file 3 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 3. S3. Input matrix for ancestral area analysis.
DOI: 10.6084/m9.figshare.19588704
title: Additional file 4 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 4. S4. Input matrix for flower type analyses.
DOI: 10.6084/m9.figshare.19588704.v1
title: Additional file 4 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 4. S4. Input matrix for flower type analyses.
DOI: 10.6084/m9.figshare.19588707
title: Additional file 5 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 5. S5. Input matrix for presence or absence of a pentamerous corolla analysis.
DOI: 10.6084/m9.figshare.19588710.v1
title: Additional file 6 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 6. S6. Input matrix for presence or absence of three types of petals analysis.
DOI: 10.6084/m9.figshare.19588707.v1
title: Additional file 5 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 5. S5. Input matrix for presence or absence of a pentamerous corolla analysis.
DOI: 10.6084/m9.figshare.19588710
title: Additional file 6 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 6. S6. Input matrix for presence or absence of three types of petals analysis.
DOI: 10.6084/m9.figshare.19588713
title: Additional file 7 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 7. S7. Input matrix for presence or absence of enclosed reproductive organs analysis.
DOI: 10.6084/m9.figshare.19588713.v1
title: Additional file 7 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 7. S7. Input matrix for presence or absence of enclosed reproductive organs analysis.
DOI: 10.6084/m9.figshare.19588716
title: Additional file 8 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 8. S8. Input matrix for presence or absence of a bilateral symmetry analysis.
DOI: 10.6084/m9.figshare.19588719.v1
title: Additional file 9 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 9. S9. Input matrix for androecium type analysis.
DOI: 10.6084/m9.figshare.19588716.v1
title: Additional file 8 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 8. S8. Input matrix for presence or absence of a bilateral symmetry analysis.
DOI: 10.6084/m9.figshare.19588719
title: Additional file 9 of Reconstructing an historical pollination syndrome: keel flowers

description: Additional file 9. S9. Input matrix for androecium type analysis.
DOI: 10.48370/ofd/ipcv0t/bt6vzb
title: Cerambyx elegans.JPG

description: :unav
DOI: 10.48370/ofd/ipcv0t
title: Cerambyx elegans (Dohrn, 1873), C-746

description: Coleoptera collection
DOI: 10.6084/m9.figshare.19588809
title: Additional file 1 of Identification of a pyroptosis-related lncRNA risk model for predicting prognosis and immune response in colon adenocarcinoma

description: Additional file 1: Table S1. 155 pyroptosis-related genes acquired from the GeneCard.
DOI: 10.6084/m9.figshare.19588809.v1
title: Additional file 1 of Identification of a pyroptosis-related lncRNA risk model for predicting prognosis and immune response in colon adenocarcinoma

description: Additional file 1: Table S1. 155 pyroptosis-related genes acquired from the GeneCard.
DOI: 10.6084/m9.figshare.19588812
title: Additional file 2 of Identification of a pyroptosis-related lncRNA risk model for predicting prognosis and immune response in colon adenocarcinoma

description: Additional file 2: Table S2. 5 mRNAs, 7 miRNAs and 132 lncRNAs in the PRlncRNA ceRNA network.