cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28374650
title: Additional file 5 of Disparate and shared transcriptomic signatures associated with cortical atrophy in genetic behavioral variant frontotemporal degeneration

description: Additional File 5: Supplementary Table 6. Detailed results of functional enrichments analyses for overlapped genes in Supplementary Table 5.
DOI: 10.6084/m9.figshare.28374650.v1
title: Additional file 5 of Disparate and shared transcriptomic signatures associated with cortical atrophy in genetic behavioral variant frontotemporal degeneration

description: Additional File 5: Supplementary Table 6. Detailed results of functional enrichments analyses for overlapped genes in Supplementary Table 5.
DOI: 10.6084/m9.figshare.28374649
title: Additional file 1 of A genome-wide association study identified SNP markers and candidate genes associated with morphometric fruit quality traits in mangoes

description: Supplementary Material 1: Table S1. List of 161 Mango genotypes, subpopulation relationships and 14 morphometric fruit quality traits and the Shapiro-Wilk test for each trait. Table S2. List of high-quality 135,079 SNPs marker for 161 mango accession. Table S3. Detailed GWAS results for the 14 morphometric fruit quality traits using FarmCPU model with 135,079 SNPs, Gene ID, and the encoding product. Table S4. Detailed GWAS results for the 14 morphometric fruit quality traits using GLM model with 135,079 SNPs, Gene ID, and the encoding product. Table S5. The genetic distance among the 20 selected accession using 135,079 SNP markers.
DOI: 10.6084/m9.figshare.28374649.v1
title: Additional file 1 of A genome-wide association study identified SNP markers and candidate genes associated with morphometric fruit quality traits in mangoes

description: Supplementary Material 1: Table S1. List of 161 Mango genotypes, subpopulation relationships and 14 morphometric fruit quality traits and the Shapiro-Wilk test for each trait. Table S2. List of high-quality 135,079 SNPs marker for 161 mango accession. Table S3. Detailed GWAS results for the 14 morphometric fruit quality traits using FarmCPU model with 135,079 SNPs, Gene ID, and the encoding product. Table S4. Detailed GWAS results for the 14 morphometric fruit quality traits using GLM model with 135,079 SNPs, Gene ID, and the encoding product. Table S5. The genetic distance among the 20 selected accession using 135,079 SNP markers.
DOI: 10.15468/dl.ndgxk5
title: Occurrence Download

description: A dataset containing 338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Observation, Material citation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.21.21_2",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, April, March, May, June, July, August, September, October, November, December)",
 "TaxonKey is Plantae",
 "Year 1000-2025"
 ]
}

 The dataset includes 338 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020476-250127130748423/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.28374580
title: Additional file 2 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28374580.v1
title: Additional file 2 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28374583
title: Additional file 3 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28374583.v1
title: Additional file 3 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28374715
title: Additional file 4 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.28374715.v1
title: Additional file 4 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.28374718
title: Additional file 5 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.28374718.v1
title: Additional file 5 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.28374721.v1
title: Additional file 6 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.28374724
title: Additional file 7 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.28374721
title: Additional file 6 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.28374724.v1
title: Additional file 7 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 7
DOI: 10.6084/m9.figshare.28374727
title: Additional file 8 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.28374727.v1
title: Additional file 8 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.28374730
title: Additional file 9 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.28374730.v1
title: Additional file 9 of Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat

description: Supplementary Material 9
DOI: 10.15468/dl.2vpmbj
title: Occurrence Download

description: A dataset containing 2362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Observation, Material citation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.21.29_2",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, April, March, May, June, July, August, September, October, November, December)",
 "TaxonKey is Plantae",
 "Year 1000-2025"
 ]
}

 The dataset includes 2362 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020477-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14835262
title: Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

description: Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

This dataset contains global web cache latency measurements collected via RIPE Atlas probes equipped with low-earth orbit (LEO) satellite networks' terminals across five continents, spanning over 24 hours and resulting in ~2 Million measurements. The measurements aim to evaluate the user-perceived latency of accessing popular websites through LEO satellite networks.This dataset is a product of Spache, a research project on web caching from space. Please refer to its WWW'25 paper for more details and analysis results.

Dataset File Content

The dataset includes the following files:

Metadata



Target website list: A list of the top 50 most popular websites according to Alexa ranking.



Note: microsoftonline.com (originally ranked 41st) is not included in the list due to its unresolvable domain name.




Measurement results - Latency



Ping RTT latency: Containing the minimum RTT (Round Trip Time, in milliseconds) for each Ping measurement to all target websites.



Probe information: Corresponding Probe IDs (Anonymized), along with their respective continents at the time of measurement.




This dataset is intended to support research on web caching, particularly in the context of satellite Internet. Please cite both this dataset and the associated paper if you find this data useful.
description: @dataset{lai_2025_14835263,
 author       = {Lai, Zeqi},
 title        = {[Spache] Global Starlink Web Cache Latency Measurement Dataset},
 month        = feb,
 year         = 2025,
 publisher    = {Zenodo},
 doi          = {10.5281/zenodo.14835263},
 url          = {https://doi.org/10.5281/zenodo.14835263},
}

@inproceedings{zhang2025spache,
 author    = {Qi Zhang and Qian Wu and Zeqi Lai and Jihao Li and Hewu Li and Yuyu Liu and Yuanjie Li and Jun Liu},
 title     = {Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching},
 booktitle = {Proceedings of the ACM Web Conference 2025 (WWW '25)},
 year      = {2025},
 pages     = {1--11},
 address   = {Sydney, NSW, Australia},
 publisher = {ACM},
 doi       = {10.1145/3696410.3714789},
 url       = {https://doi.org/10.1145/3696410.3714789}
}
DOI: 10.5281/zenodo.14835263
title: Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

description: Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

This dataset contains global web cache latency measurements collected via RIPE Atlas probes equipped with low-earth orbit (LEO) satellite networks' terminals across five continents, spanning over 24 hours and resulting in ~2 Million measurements. The measurements aim to evaluate the user-perceived latency of accessing popular websites through LEO satellite networks.This dataset is a product of Spache, a research project on web caching from space. Please refer to its WWW'25 paper for more details and analysis results.

Dataset File Content

The dataset includes the following files:

Metadata



Target website list: A list of the top 50 most popular websites according to Alexa ranking.



Note: microsoftonline.com (originally ranked 41st) is not included in the list due to its unresolvable domain name.




Measurement results - Latency



Ping RTT latency: Containing the minimum RTT (Round Trip Time, in milliseconds) for each Ping measurement to all target websites.



Probe information: Corresponding Probe IDs (Anonymized), along with their respective continents at the time of measurement.




This dataset is intended to support research on web caching, particularly in the context of satellite Internet. Please cite both this dataset and the associated paper if you find this data useful.
description: @dataset{lai_2025_14835263,
 author       = {Lai, Zeqi},
 title        = {[Spache] Global Starlink Web Cache Latency Measurement Dataset},
 month        = feb,
 year         = 2025,
 publisher    = {Zenodo},
 doi          = {10.5281/zenodo.14835263},
 url          = {https://doi.org/10.5281/zenodo.14835263},
}

@inproceedings{zhang2025spache,
 author    = {Qi Zhang and Qian Wu and Zeqi Lai and Jihao Li and Hewu Li and Yuyu Liu and Yuanjie Li and Jun Liu},
 title     = {Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching},
 booktitle = {Proceedings of the ACM Web Conference 2025 (WWW '25)},
 year      = {2025},
 pages     = {1--11},
 address   = {Sydney, NSW, Australia},
 publisher = {ACM},
 doi       = {10.1145/3696410.3714789},
 url       = {https://doi.org/10.1145/3696410.3714789}
}
DOI: 10.34740/kaggle/dsv/10692385
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.ung34x
title: Occurrence Download

description: A dataset containing 172292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Restionaceae)"
 ]
}

 The dataset includes 172292 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020478-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mexx36
title: Occurrence Download

description: A dataset containing 468135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Commelinaceae)"
 ]
}

 The dataset includes 468135 records from 1633 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020479-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/ctuhyl
title: TRYPTIF_Metabolites-paper_MFA1 metabolites-MGBaxis.tab

description: The multiple factor analysis (MFA1, ‘FactomineR’ package) was performed on all the metabolite concentrations grouped by sampling site (brainstem, hippocampus, hypothalamus, pineal gland, prefrontal cortex, striatum, colon, liver and plasma) and metabolite family (AAs, Trp and Trp-derived metabolites, neurotransmitters, polyamines and other nitrogenous analytes (arginine-derived metabolites, trace amines, antioxidant peptides, kyotorphin and ethanolamine)), resulting in 45 different groups gathering 306 variables. The coordonates and contributions of groups and the contributions of variables on Dimension 1,2,3,4 and 5 of the MFA1 are given.
DOI: 10.57745/daobtw
title: TRYPTIF_Metabolites-paper_MFA1 metabolites-MGBaxis_Vf.tab.tab

description: The multiple factor analysis (MFA1, ‘FactomineR’ package) was performed on all the metabolite concentrations grouped by sampling site (brainstem, hippocampus, hypothalamus, pineal gland, prefrontal cortex, striatum, colon, liver and plasma) and metabolite family (AAs, Trp and Trp-derived metabolites, neurotransmitters, polyamines and other nitrogenous analytes (arginine-derived metabolites, trace amines, antioxidant peptides, kyotorphin and ethanolamine)), resulting in 45 different groups gathering 306 variables. The coordonates and contributions of groups and the contributions of variables on Dimension 1,2,3,4 and 5 of the MFA1 are given.
DOI: 10.57745/fhokj7
title: TRYPTIF_metabolites_dataset-by-site_raw data used for stats_Vf.tab

description: Full raw data of metabolite concentrations determined in all samples of HM and IF diets, and in all samples of plasma, liver, colonic digesta and six brain areas of HM- and IF-fed piglets.
DOI: 10.57745/frtobq
title: TRYPTIF_Metabolites-paper_correlation-data_Vf.tab.tab

description: Pearson correlation coefficients were determined between ileal, colonic, plasma, liver and brain metabolite concentrations
DOI: 10.57745/inkt27
title: TRYPTIF_Metabolites-paper_MFA2 metabolites-MGBaxis.tab

description: The MFA2 was performed based on the metabolite data grouped by sampling region and metabolite family, as described above (MFA1), and on previously published (Charton et al 2022, doi: 10.3389/fnut.2022.976042) gut microbiota variables (bacterial genus abundances in ileum and colon) grouped according to their respective phylum, intestinal epithelium variables (morphometry, gene expression, goblet cell counting, GLP1 content and cell numbers determined in ileum and colon) grouped according to their functions (five functions: barrier, immune and endocrine functions, Trp metabolism, nutrient carrier/digestion), and brain variables (gene expression determined in the four following brain regions: hippocampus, hypothalamus, prefrontal-cortex, striatum) grouped according to seven functions (functions: genes encoding in barrier, immune and endocrine functions, Trp metabolism, nutrient carriers/digestion, neurotransmitters, neurosynaptogenesis). This MFA2 resulted in 90 groups gathering 930 variables. The coordonates and contributions of groups and the contributions of variables on Dimension 1,2,3,4 and 5 of the MFA1 are given.
DOI: 10.57745/p6h3lo
title: TRYPTIF_Metabolites-paper_MFA2 metabolites-MGBaxis_Vf.tab.tab

description: The MFA2 was performed based on the metabolite data grouped by sampling region and metabolite family, as described above (MFA1), and on previously published (Charton et al 2022, doi: 10.3389/fnut.2022.976042) gut microbiota variables (bacterial genus abundances in ileum and colon) grouped according to their respective phylum, intestinal epithelium variables (morphometry, gene expression, goblet cell counting, GLP1 content and cell numbers determined in ileum and colon) grouped according to their functions (five functions: barrier, immune and endocrine functions, Trp metabolism, nutrient carrier/digestion), and brain variables (gene expression determined in the four following brain regions: hippocampus, hypothalamus, prefrontal-cortex, striatum) grouped according to seven functions (functions: genes encoding in barrier, immune and endocrine functions, Trp metabolism, nutrient carriers/digestion, neurotransmitters, neurosynaptogenesis). This MFA2 resulted in 90 groups gathering 930 variables. The coordonates and contributions of groups and the contributions of variables on Dimension 1,2,3,4 and 5 of the MFA1 are given.
DOI: 10.57745/wzgdst
title: TRYPTIF_Metabolites-paper_correlation-data.tab.tab

description: Pearson correlation coefficients were determined between ileal, colonic, plasma, liver and brain metabolite concentrations
DOI: 10.5281/zenodo.13322717
title: Test Mlinvitrotox model

description: asdf
DOI: 10.5281/zenodo.13322892
title: Test Mlinvitrotox model

description: asdf
DOI: 10.6084/m9.figshare.26598926.v1
title: Additional file 10 of Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia

description: Additional file 10: Table S3. Genes at the 6q24.2 locus controlled by the same elements in the VDAC1P8 pseudogene. Data shown below are from GeneCards database. *From GWAS catalog; **From GEPIA database; ***From ENA (European Nucleotide Archive at EBI); ND= no data available; lncRNA=long non-coding RNA; ncRNA= non-coding RNA; rRNA=ribosomal RNA.
DOI: 10.6084/m9.figshare.26598923.v1
title: Additional file 9 of Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia

description: Additional file 9: Table S2. Expression profiles of VDAC genes from GEPIA server across 31 tumor and paired normal tissues. No data was found for VDAC1P5, VDAC1P7, VDAC1P10, VDAC1P12 and VDAC2P2 pseudogenes. (a) VDAC1 pseudogenes; (b) VDAC2 pseudogene; (c) VDAC3 pseudogene. The median expression of Log2TPM+1 of certain tumor type or normal tissue based on TCGA and GTEX respectively. TPM= transcript per million.
DOI: 10.6084/m9.figshare.26599184
title: Additional file 3 of Flowering and fruit-set in cassava under extended red-light photoperiod supplemented with plant-growth regulators and pruning

description: Additional file 3.
DOI: 10.6084/m9.figshare.26599187.v1
title: Additional file 4 of Flowering and fruit-set in cassava under extended red-light photoperiod supplemented with plant-growth regulators and pruning

description: Additional file 4.
DOI: 10.6084/m9.figshare.26599187
title: Additional file 4 of Flowering and fruit-set in cassava under extended red-light photoperiod supplemented with plant-growth regulators and pruning

description: Additional file 4.
DOI: 10.15468/dl.4tzzmb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.857072 -36.867568, 144.861564 -36.867568, 144.861564 -36.863077, 144.857072 -36.863077, 144.857072 -36.867568)), ((144.857072 -36.867568, 144.854826 -36.867568, 144.854826 -36.869814, 144.857072 -36.869814, 144.857072 -36.867568)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066522-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26599181
title: Additional file 2 of Flowering and fruit-set in cassava under extended red-light photoperiod supplemented with plant-growth regulators and pruning

description: Additional file 2.
DOI: 10.6084/m9.figshare.26599181.v1
title: Additional file 2 of Flowering and fruit-set in cassava under extended red-light photoperiod supplemented with plant-growth regulators and pruning

description: Additional file 2.
DOI: 10.6084/m9.figshare.26567851
title: Additional file 1 of Patterns of variation in equine strongyle community structure across age groups and gut compartments

description: Additional file 1: Table S1. Linear regression modelling output of strongyle community diversity in Ukraine and Poland.
DOI: 10.6084/m9.figshare.26567851.v1
title: Additional file 1 of Patterns of variation in equine strongyle community structure across age groups and gut compartments

description: Additional file 1: Table S1. Linear regression modelling output of strongyle community diversity in Ukraine and Poland.
DOI: 10.6084/m9.figshare.26567854
title: Additional file 2 of Patterns of variation in equine strongyle community structure across age groups and gut compartments

description: Additional file 2: Table S2. Linear regression modelling output of strongyle species count in Ukraine operations.
DOI: 10.6084/m9.figshare.26598926
title: Additional file 10 of Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia

description: Additional file 10: Table S3. Genes at the 6q24.2 locus controlled by the same elements in the VDAC1P8 pseudogene. Data shown below are from GeneCards database. *From GWAS catalog; **From GEPIA database; ***From ENA (European Nucleotide Archive at EBI); ND= no data available; lncRNA=long non-coding RNA; ncRNA= non-coding RNA; rRNA=ribosomal RNA.
DOI: 10.6084/m9.figshare.26598920
title: Additional file 8 of Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia

description: Additional file 8: Table S1. Expression profiles of VDAC1-3 genes from GEPIA server across 31 tumor and paired normal tissues. The median expression of Log2TPM+1 of certain tumor type or normal tissue based on TCGA and GTEX respectively. TPM = transcript per million.
DOI: 10.6084/m9.figshare.26598923
title: Additional file 9 of Human VDAC pseudogenes: an emerging role for VDAC1P8 pseudogene in acute myeloid leukemia

description: Additional file 9: Table S2. Expression profiles of VDAC genes from GEPIA server across 31 tumor and paired normal tissues. No data was found for VDAC1P5, VDAC1P7, VDAC1P10, VDAC1P12 and VDAC2P2 pseudogenes. (a) VDAC1 pseudogenes; (b) VDAC2 pseudogene; (c) VDAC3 pseudogene. The median expression of Log2TPM+1 of certain tumor type or normal tissue based on TCGA and GTEX respectively. TPM= transcript per million.