cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hcdhn6
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dentex hypselosomus Bleeker, 1854",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 254 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035725-241126133413365/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.c.3909649_d9.v1
title: Additional file 18: Table S17. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: The putative targets of Suaeda aralocaspica novel miRNAs predicted by TAPIR. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.c.3909649_d8
title: Additional file 17: Table S16. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: The putative targets of Suaeda aralocaspica conserved miRNAs predicted by TAPIR. (XLSX 49 kb)
DOI: 10.6084/m9.figshare.c.3909649_d9
title: Additional file 18: Table S17. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: The putative targets of Suaeda aralocaspica novel miRNAs predicted by TAPIR. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.c.3909649_d8.v1
title: Additional file 17: Table S16. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: The putative targets of Suaeda aralocaspica conserved miRNAs predicted by TAPIR. (XLSX 49 kb)
DOI: 10.6084/m9.figshare.c.3909649_d7.v1
title: Additional file 16: Table S15. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: miRNAs differentially expressed during Suaeda aralocaspica seed germination. (XLSX 57 kb)
DOI: 10.6084/m9.figshare.c.3909649_d7
title: Additional file 16: Table S15. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: miRNAs differentially expressed during Suaeda aralocaspica seed germination. (XLSX 57 kb)
DOI: 10.6084/m9.figshare.c.3909649_d5.v1
title: Additional file 14: Table S14. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: The precursor sequences of Suaeda aralocaspica miRNAs. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.c.3909649_d5
title: Additional file 14: Table S14. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: The precursor sequences of Suaeda aralocaspica miRNAs. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.c.3909649_d4.v1
title: Additional file 13: Table S13. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: Identification of novel miRNAs in Suaeda aralocaspica. (XLSX 35 kb)
DOI: 10.6084/m9.figshare.c.3909649_d4
title: Additional file 13: Table S13. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: Identification of novel miRNAs in Suaeda aralocaspica. (XLSX 35 kb)
DOI: 10.6084/m9.figshare.c.3909649_d3.v1
title: Additional file 12: Table S12. of Transcriptome assembly in Suaeda aralocaspica to reveal the distinct temporal gene/miRNA alterations between the dimorphic seeds during germination

description: Identification of conserved miRNAs in Suaeda aralocaspica. (XLSX 76 kb)
DOI: 10.15468/dl.r2j9zd
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callorhinus ursinus (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035727-241126133413365/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.c.3908416_d3.v1
title: Additional file 3 of A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts

description: Sequences of the Swiss-Prot reviewed database not characterized, identified by our method with a high probability of being lncRNAs. (Fa 3.62 kb)
DOI: 10.6084/m9.figshare.c.3908416_d3
title: Additional file 3 of A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts

description: Sequences of the Swiss-Prot reviewed database not characterized, identified by our method with a high probability of being lncRNAs. (Fa 3.62 kb)
DOI: 10.6084/m9.figshare.c.3908413_d1.v1
title: Additional file 1: of Cortisol inhibits mTOR signaling in avascular necrosis of the femoral head

description: Raw normalized data of LncRNA microarray. (XLSX 25998 kb)
DOI: 10.6084/m9.figshare.c.3908416_d1.v1
title: Additional file 1 of A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts

description: This file shows the results of the PCA analysis. The sheets are organized by data sets and PCA results. For example, "GRCh37 PCA Explained" contains the explained data for each component obtained from the GRCh37 data. The PCA results are "PCA Explained", "Loadings" and "Attributes", containing the screeplot of the explained data, the loadings of the nucleotide pattern frequencies, and the selected attributes, respectively. This three sheets are available for each case study, GRCh37, GRCh38, GRCm38, GRCh37/GRCm38, GRCh38/GRCm38 and GRCm30/GRCz10. (XLSX 389 kb)
DOI: 10.6084/m9.figshare.c.3908416_d1
title: Additional file 1 of A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts

description: This file shows the results of the PCA analysis. The sheets are organized by data sets and PCA results. For example, "GRCh37 PCA Explained" contains the explained data for each component obtained from the GRCh37 data. The PCA results are "PCA Explained", "Loadings" and "Attributes", containing the screeplot of the explained data, the loadings of the nucleotide pattern frequencies, and the selected attributes, respectively. This three sheets are available for each case study, GRCh37, GRCh38, GRCm38, GRCh37/GRCm38, GRCh38/GRCm38 and GRCm30/GRCz10. (XLSX 389 kb)
DOI: 10.6084/m9.figshare.c.3908413_d1
title: Additional file 1: of Cortisol inhibits mTOR signaling in avascular necrosis of the femoral head

description: Raw normalized data of LncRNA microarray. (XLSX 25998 kb)
DOI: 10.5281/zenodo.14224280
title: Immunophenotyping of peripheral blood mononuclear cells after out-of-hospital cardiac arrest: Flow cytometry of human peripheral blood mononuclear cells

description: Samples 1–12: Healthy subjects, NK cells

Samples 13–23: Post-cardiac arrest, Early, Good outcomes, NK cells

Samples 24–36: Post-cardiac arrest, Early, Poor outcomes, NK cells

Samples 37–44: Post-cardiac arrest, Late, Good outcomes, NK cells

Samples 45–51: Post-cardiac arrest, Late, Poor outcomes, NK cells

Samples 52–61: Healthy subjects, Monocytes

Samples 62–71: Post-cardiac arrest, Early, Good outcomes, Monocytes

Samples 72–81: Post-cardiac arrest, Early, Poor outcomes, Monocytes

Samples 82–87: Post-cardiac arrest, Late, Good outcomes, Monocytes

Samples 88–93: Post-cardiac arrest, Late, Poor outcomes, Monocytes

 

Samples 1–51 are related to Figures 3D, 4C, S3, S4G

Samples 52–93 are related to Figures 4B, S2, S4F

 

Matching samples analyzed in the single-cell RNA-seq:

Single-cell RNA-seq samples GEO accession #: GSE200118

Bulk RNA-seq samples GEO accession #: GSE200117




Sample ID
Single-cell RNA-seq
Bulk Tim3+ NK cell
Bulk Tim3- NK cell
Bulk Nectin2+ monocyte
Bulk Nectin2- monocyte


2_Healthy_NK cell_2
GSM6011697
GSM6011454
GSM6011474
 
 


53_Healthy_Monocyte_2
GSM6011697
 
 
GSM6011614
GSM6011626


16_CA_Early_Good_NK cell_4
GSM6011703
 
 
 
 


64_CA_Early_Good_Monocyte_3
GSM6011703
 
 
GSM6011504
GSM6011560


19_CA_Early_Good_NK cell_7
GSM6011706
 
 
 
 


67_CA_Early_Good_Monocyte_6
GSM6011706
 
 
GSM6011508
GSM6011563


17_CA_Early_Good_NK cell_5
GSM6011713
 
 
 
 


65_CA_Early_Good_Monocyte_4
GSM6011713
 
 
GSM6011506
GSM6011561


24_CA_Early_Poor_NK cell_1
GSM6011714
GSM6011377
GSM6011432
 
 


29_CA_Early_Poor_NK cell_6
GSM6011721
GSM6011394
GSM6011430
 
 


74_CA_Early_Poor_Monocyte_3
GSM6011721
 
 
GSM6011516
GSM6011553


38_CA_Late_Good_NK cell_2
GSM6011709
 
 
 
 


83_CA_Late_Good_Monocyte_2
GSM6011709
 
 
GSM6011511
GSM6011597


46_CA_Late_Poor_NK cell_2
GSM6011718
GSM6011415
GSM6011450
 
 


45_CA_Late_Poor_NK cell_1
GSM6011719
GSM6011408
GSM6011444
 
 


88_CA_Late_Poor_Monocyte_1
GSM6011719
 
 
GSM6011538
GSM6011575
DOI: 10.5281/zenodo.14224281
title: Immunophenotyping of peripheral blood mononuclear cells after out-of-hospital cardiac arrest: Flow cytometry of human peripheral blood mononuclear cells

description: Samples 1–12: Healthy subjects, NK cells

Samples 13–23: Post-cardiac arrest, Early, Good outcomes, NK cells

Samples 24–36: Post-cardiac arrest, Early, Poor outcomes, NK cells

Samples 37–44: Post-cardiac arrest, Late, Good outcomes, NK cells

Samples 45–51: Post-cardiac arrest, Late, Poor outcomes, NK cells

Samples 52–61: Healthy subjects, Monocytes

Samples 62–71: Post-cardiac arrest, Early, Good outcomes, Monocytes

Samples 72–81: Post-cardiac arrest, Early, Poor outcomes, Monocytes

Samples 82–87: Post-cardiac arrest, Late, Good outcomes, Monocytes

Samples 88–93: Post-cardiac arrest, Late, Poor outcomes, Monocytes

 

Samples 1–51 are related to Figures 3D, 4C, S3, S4G

Samples 52–93 are related to Figures 4B, S2, S4F

 

Matching samples analyzed in the single-cell RNA-seq:

Single-cell RNA-seq samples GEO accession #: GSE200118

Bulk RNA-seq samples GEO accession #: GSE200117




Sample ID
Single-cell RNA-seq
Bulk Tim3+ NK cell
Bulk Tim3- NK cell
Bulk Nectin2+ monocyte
Bulk Nectin2- monocyte


2_Healthy_NK cell_2
GSM6011697
GSM6011454
GSM6011474
 
 


53_Healthy_Monocyte_2
GSM6011697
 
 
GSM6011614
GSM6011626


16_CA_Early_Good_NK cell_4
GSM6011703
 
 
 
 


64_CA_Early_Good_Monocyte_3
GSM6011703
 
 
GSM6011504
GSM6011560


19_CA_Early_Good_NK cell_7
GSM6011706
 
 
 
 


67_CA_Early_Good_Monocyte_6
GSM6011706
 
 
GSM6011508
GSM6011563


17_CA_Early_Good_NK cell_5
GSM6011713
 
 
 
 


65_CA_Early_Good_Monocyte_4
GSM6011713
 
 
GSM6011506
GSM6011561


24_CA_Early_Poor_NK cell_1
GSM6011714
GSM6011377
GSM6011432
 
 


29_CA_Early_Poor_NK cell_6
GSM6011721
GSM6011394
GSM6011430
 
 


74_CA_Early_Poor_Monocyte_3
GSM6011721
 
 
GSM6011516
GSM6011553


38_CA_Late_Good_NK cell_2
GSM6011709
 
 
 
 


83_CA_Late_Good_Monocyte_2
GSM6011709
 
 
GSM6011511
GSM6011597


46_CA_Late_Poor_NK cell_2
GSM6011718
GSM6011415
GSM6011450
 
 


45_CA_Late_Poor_NK cell_1
GSM6011719
GSM6011408
GSM6011444
 
 


88_CA_Late_Poor_Monocyte_1
GSM6011719
 
 
GSM6011538
GSM6011575
DOI: 10.15468/dl.b7f9ry
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoca ursina Linnaeus, 1758",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035728-241126133413365/datasets/export for details.
DOI: 10.6084/m9.figshare.c.3907063_d4.v1
title: Additional file 4: Figure S2. of Institute collection and analysis of Nanobodies (iCAN): a comprehensive database and analysis platform for nanobodies

description: all data.xls: the source data of all curated nanobody. (XLS 2544Â kb)
DOI: 10.6084/m9.figshare.c.3907063_d4
title: Additional file 4: Figure S2. of Institute collection and analysis of Nanobodies (iCAN): a comprehensive database and analysis platform for nanobodies

description: all data.xls: the source data of all curated nanobody. (XLS 2544Â kb)
DOI: 10.6084/m9.figshare.c.3906022_d3.v1
title: MOESM3 of Molecular and virulence characterization of highly prevalent Streptococcus agalactiae circulated in bovine dairy herds

description: Additional file 3. eBURST analysis of 1148 STs deposited in S. agalactiae MLST database.
DOI: 10.6084/m9.figshare.c.3906022_d3
title: MOESM3 of Molecular and virulence characterization of highly prevalent Streptococcus agalactiae circulated in bovine dairy herds

description: Additional file 3. eBURST analysis of 1148 STs deposited in S. agalactiae MLST database.
DOI: 10.5281/zenodo.14311615
title: Immunophenotyping of peripheral blood mononuclear cells after out-of-hospital cardiac arrest: In vitro assay of human peripheral blood mononuclear cells

description: Samples 94–99: Healthy subjects, in-vitro assay, PBMC + anti-Nectin2 isotype control

Samples 100–105: Healthy subjects, in-vitro assay, PBMC + anti-Nectin2 monoclonal antibody (mAb)

Samples 106–110: Post-cardiac arrest, in-vitro assay, PBMC + anti-Nectin2 isotype control

Samples 111–115: Post-cardiac arrest, in-vitro assay, PBMC + anti-Nectin2 mAb

Samples 116–120: Post-cardiac arrest, in-vitro assay, PBMC + recombinant human (rh)-Nectin2 isotype control

Samples 121–125: Post-cardiac arrest, in-vitro assay, PBMC + rh-Nectin2

 

Samples 94–105 are related to Figures 7B and S7A

Samples 106–115 are related to Figures 7D-F and S7B

Samples 116–125 are related to Figures 7G and S7C
DOI: 10.5281/zenodo.14311616
title: Immunophenotyping of peripheral blood mononuclear cells after out-of-hospital cardiac arrest: In vitro assay of human peripheral blood mononuclear cells

description: Samples 94–99: Healthy subjects, in-vitro assay, PBMC + anti-Nectin2 isotype control

Samples 100–105: Healthy subjects, in-vitro assay, PBMC + anti-Nectin2 monoclonal antibody (mAb)

Samples 106–110: Post-cardiac arrest, in-vitro assay, PBMC + anti-Nectin2 isotype control

Samples 111–115: Post-cardiac arrest, in-vitro assay, PBMC + anti-Nectin2 mAb

Samples 116–120: Post-cardiac arrest, in-vitro assay, PBMC + recombinant human (rh)-Nectin2 isotype control

Samples 121–125: Post-cardiac arrest, in-vitro assay, PBMC + rh-Nectin2

 

Samples 94–105 are related to Figures 7B and S7A

Samples 106–115 are related to Figures 7D-F and S7B

Samples 116–125 are related to Figures 7G and S7C
DOI: 10.5281/zenodo.13326302
title: Chaotic dynamics and synchronization under tripartite couplings: Analyses and experiments using single-transistor oscillators as metaphors of neural dynamics

description: These are experimental time series and video data for an electronic model of neural dynamics consisting of a triplet of chaotic oscillators coupled by means of modulated connections. They are provided to support the replication of the results reported in the associated publication, as well as any further public-domain academic research in the field of neural dynamics, nonlinear electronic circuits, and related aspects, in compliance with the specified license terms and all applicable legal clauses.

The following reference must be cited when using these data:

Minati L, Sparacino L, Faes L , Ito H , Li C, Valdes-Sosa PA, Frasca M, Boccaletti S, Chaotic dynamics and synchronization under tripartite couplings: Analyses and experiments using single-transistor oscillators as metaphors of neural dynamics, Chaos, Solitons and Fractals 189 (2024) 115567, DOI https://doi.org/10.1016/j.chaos.2024.115567.

L.M. gratefully acknowledges the support of the ‘‘Hundred Talents’’ program of the University of Electronic Science and Technology of China, of the ‘‘Outstanding Young Talents Program (Overseas)’’ program of the National Natural Science Foundation of China, and of the talent programs of the Sichuan province and Chengdu municipality, China. The circuit design and realization of the boards were funded and undertaken by L.M. using own independent assets located in Grigno TN, Italy. M.F. acknowledges partial support of the University of Catania, Italy under the framework of the PIA.CE.RI. project entitled ‘‘CoCoS: Control of Complex Systems’’. S.B. acknowledges support from the project No. PGR01177 of the Italian Ministry of Foreign Affairs and International Cooperation. This work has also been supported by the Chengdu Science and Technology Bureau Program under Grant 2022GH02-00042-HZ and the CNS program of UESTC No. Y0301902610100201. The authors are grateful to Stefano Aldrigo of Tecno77 Srl (Brendola VI, Italy) for board layout design.
DOI: 10.5281/zenodo.13326303
title: Chaotic dynamics and synchronization under tripartite couplings: Analyses and experiments using single-transistor oscillators as metaphors of neural dynamics

description: These are experimental time series and video data for an electronic model of neural dynamics consisting of a triplet of chaotic oscillators coupled by means of modulated connections. They are provided to support the replication of the results reported in the associated publication, as well as any further public-domain academic research in the field of neural dynamics, nonlinear electronic circuits, and related aspects, in compliance with the specified license terms and all applicable legal clauses.

The following reference must be cited when using these data:

Minati L, Sparacino L, Faes L , Ito H , Li C, Valdes-Sosa PA, Frasca M, Boccaletti S, Chaotic dynamics and synchronization under tripartite couplings: Analyses and experiments using single-transistor oscillators as metaphors of neural dynamics, Chaos, Solitons and Fractals 189 (2024) 115567, DOI https://doi.org/10.1016/j.chaos.2024.115567.

L.M. gratefully acknowledges the support of the ‘‘Hundred Talents’’ program of the University of Electronic Science and Technology of China, of the ‘‘Outstanding Young Talents Program (Overseas)’’ program of the National Natural Science Foundation of China, and of the talent programs of the Sichuan province and Chengdu municipality, China. The circuit design and realization of the boards were funded and undertaken by L.M. using own independent assets located in Grigno TN, Italy. M.F. acknowledges partial support of the University of Catania, Italy under the framework of the PIA.CE.RI. project entitled ‘‘CoCoS: Control of Complex Systems’’. S.B. acknowledges support from the project No. PGR01177 of the Italian Ministry of Foreign Affairs and International Cooperation. This work has also been supported by the Chengdu Science and Technology Bureau Program under Grant 2022GH02-00042-HZ and the CNS program of UESTC No. Y0301902610100201. The authors are grateful to Stefano Aldrigo of Tecno77 Srl (Brendola VI, Italy) for board layout design.
DOI: 10.6084/m9.figshare.c.3905824_d2.v1
title: Additional file 2: Table S1. of Sequencing flow-sorted short arm of Haynaldia villosa chromosome 4V provides insights into its molecular structure and virtual gene order

description: The scaffold length distribution; Table S2. The numbers of genes in a scaffold; Table S3. Genome Zipper-based gene orders of H. villosa chromosome 4VS in Brachypodium; Table S4. Genome Zipper-based gene orders of H. villosa chromosome 4VS in Ae. tauschii chromosome 4D. (ZIP 4749 kb)
DOI: 10.6084/m9.figshare.c.3905824_d2
title: Additional file 2: Table S1. of Sequencing flow-sorted short arm of Haynaldia villosa chromosome 4V provides insights into its molecular structure and virtual gene order

description: The scaffold length distribution; Table S2. The numbers of genes in a scaffold; Table S3. Genome Zipper-based gene orders of H. villosa chromosome 4VS in Brachypodium; Table S4. Genome Zipper-based gene orders of H. villosa chromosome 4VS in Ae. tauschii chromosome 4D. (ZIP 4749 kb)
DOI: 10.15468/dl.f8ucxh
title: Occurrence Download

description: A dataset containing 1004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastolobus macrochir (Günther, 1877)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1004 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035730-241126133413365/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.c.3904561_d1
title: MOESM1 of Integrated genomic characterization of cancer genes in glioma

description: Additional file 1: Figure S1. Driver genes in IDH1-mutated, non-IDH1-mutated and total glioma groups. A. The overlap of driver genes predicted by OncodriveCLUST in the three groups; B. The overlap of driver genes predicted by OncodriveFM in the three groups; C. The overlap of driver genes predicted by Icages in the three groups; D. The overlap of driver genes predicted by Drgap in the three groups; E. The overlap of driver genes predicted by Dendrix in the three groups; F. The overlap of driver pathways predicted by Dendrix in the three groups. Figure S2. Expression profiling of 428 driver genes between glioma and normal brain samples, expression values of each gene was presented as log(FPKM + 0.001). Figure S3. The protein–protein interaction network of driver genes. Network nodes represent proteins, network edges represent protein–protein associations. Notably, disconnected nodes were disabled in the network. Colored nodes refer to query proteins and first shell of interactors, white nodes are second shell of interactors. Blue lines represent known interactions from curated Kyoto Encyclopedia of Genes and Genomes database. Pink lines represent experimentally determined protein–protein interactions. Green lines denote genes that are frequently observed in each other’s genomic neighborhood. Black lines stand for genes whose expression is correlated across a large number of experiments. Dark blue gene families show similar occurrence patterns across genomes, light blue proteins show amino acid sequence similarity. Figure S4. The frequencies of copy number variations in 52 glioma samples.