cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16263735
title: The PODER cross-ancestry long-read RNA-seq dataset

description: Table legends:



column_descriptions.docx: Extended description of columns in selected tables.

00_sample_metadata: Sample and experimental metadata pertaining to each LR-RNA-seq sample.

01_uma_gtf: Unfiltered merged annotation (UMA) GTF for all spliced intron chains discovered by each of the tools.

02_uma_mt: Metadata table for SQANTI QC, Recount3 support, protein prediction, and other relevant characteristics for each transcript in the UMA annotation used to filter transcripts.

03_poder_gtf: Final PODER GTF, including predicted CDSs for novel transcripts and annotated CDSs for known transcripts.

04_poder_mt: Metadata table for SQANTI QC, Recount3 support, protein prediction, and other relevant characteristics for each transcript in PODER.

06_poder_t_counts: PODER transcript counts in each sample as quantified by lr-kallisto.

07_poder_g_counts: PODER gene counts in each sample as quantified by lr-kallisto.

08_mage_t_counts_poder: Transcript counts for the MAGE RNA-seq dataset computed using the PODER annotation with kallisto.

09_mage_t_counts_gencode: Transcript counts for the MAGE RNA-seq dataset computed using the GENCODE annotation with kallisto.

10_mage_t_counts_enh: Transcript counts for the MAGE RNA-seq dataset computed using the Enhanced GENCODE annotation with kallisto.

11_astu: Allele-specific transcript usage results.

12_ase: Allele-specific expression results.

13_mage_tau: Tau values for Enhanced GENCODE transcripts computed on the MAGE RNA-seq dataset.

14_gwas_enrichments: GWAS enrichment results for ASTU genes overlapping GWAS genes.

16_inter_catalog_overlap: Boolean detection of transcripts across PODER, annotations (GENCODE, RefSeq) and other RNA-seq / LR-RNA-seq-derived transcript catalogs (CHESS, GTEx, ENCODE4).

17_personalized_hg38: Isoforms and their intron chains detected using personalized-GRCh38s.

18_enh_gencode: Enhanced GENCODE GTF with novel transcripts from PODER added to all annotated transcripts from GENCODE v47
DOI: 10.15468/dl.xwu97p
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schkuhria pinnata",
 "Country is Namibia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021264-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b5w63
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cinnamomum rigidissimum",
 "Year 1950-2025"
 ]
}

 The dataset includes 80 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021262-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pg6fcnnhcz
title: Determinants of cholera fatalities in Malawi: A case-control study of patient-level and clinical management factors in the 2022-23 outbreak

description: Overview:
This dataset supports the study titled "Determinants of cholera fatalities in Malawi: A case-control study of patient-level and clinical management factors in the 2022–23 outbreak." The study aimed to identify clinical and behavioural factors associated with cholera-related deaths during Malawi’s largest and deadliest outbreak to date, which began in March 2022. Using a matched case-control design, the dataset captures detailed information across treatment units in four Malawian districts.

Data Collection Period:
-March 2022 – September 2023 (retrospective review conducted August 21 – September 1, 2023)

Study Sites:
-Blantyre District Health Office
-Lilongwe District Health Office
-Mangochi District Health Office
-Nkhatabay District Health Office

Data Type:
-Retrospective clinical and demographic data (anonymised)

Number of Observations:
-241 patient records, each with 32 variables, prior to in silico matching and data cleaning.

Matching Variables:
-Age (in age ranges)
-District of diagnosis

Key Variables:
-Demographics: age, sex, occupation, marital status, residential location
-Health-Seeking Behaviour: time to hospital presentation, vaccination status
-Clinical Characteristics: hydration status, comorbidities (e.g., HIV status)
-Treatment Details: IV fluid administration, adequacy of fluid management (coded against WHO guidelines), antibiotic use, time in ward
-Outcome: mortality (case = 1; control = 0)

File Format:
-CSV (.csv): (fully anonymised)
DOI: 10.17632/pg6fcnnhcz.1
title: Determinants of cholera fatalities in Malawi: A case-control study of patient-level and clinical management factors in the 2022-23 outbreak

description: Overview:
This dataset supports the study titled "Determinants of cholera fatalities in Malawi: A case-control study of patient-level and clinical management factors in the 2022–23 outbreak." The study aimed to identify clinical and behavioural factors associated with cholera-related deaths during Malawi’s largest and deadliest outbreak to date, which began in March 2022. Using a matched case-control design, the dataset captures detailed information across treatment units in four Malawian districts.

Data Collection Period:
-March 2022 – September 2023 (retrospective review conducted August 21 – September 1, 2023)

Study Sites:
-Blantyre District Health Office
-Lilongwe District Health Office
-Mangochi District Health Office
-Nkhatabay District Health Office

Data Type:
-Retrospective clinical and demographic data (anonymised)

Number of Observations:
-241 patient records, each with 32 variables, prior to in silico matching and data cleaning.

Matching Variables:
-Age (in age ranges)
-District of diagnosis

Key Variables:
-Demographics: age, sex, occupation, marital status, residential location
-Health-Seeking Behaviour: time to hospital presentation, vaccination status
-Clinical Characteristics: hydration status, comorbidities (e.g., HIV status)
-Treatment Details: IV fluid administration, adequacy of fluid management (coded against WHO guidelines), antibiotic use, time in ward
-Outcome: mortality (case = 1; control = 0)

File Format:
-CSV (.csv): (fully anonymised)
DOI: 10.15468/dl.vbdy73
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Cinnamomum saxatile",
 "Year 1950-2025"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021266-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xph53svyf7
title: Import tariff and import volume: case of US-Vietnam

description: Data presents the import volume of US from Vietnam between 1994-2024
DOI: 10.17632/xph53svyf7.2
title: Import tariff and import volume: case of US-Vietnam

description: Data presents the import volume of US from Vietnam between 1994-2024
DOI: 10.15468/dl.s7gaqk
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schkuhria pinnata",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021265-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9n6c5bxhj4
title: Raw images file

description: Raw images file
DOI: 10.17632/9n6c5bxhj4.1
title: Raw images file

description: Raw images file
DOI: 10.17632/89c9bh2d3z
title: Yak dung generates lower soil N retention and stimulates higher N2O emissions relative to Tibetan sheep dung in an alpine meadow on the Eastern Qinghai-Tibetan Plateau

description: The data derived from the indoor incubation experiment, and mainly showed the variation of soil properties include soil organic carbon, total nitrogen, total phosphorus, etc. and the associated N2O emission under the effects of dung addition in the alpine meadow soil, by using the 15N isotope labeling methods.
DOI: 10.17632/89c9bh2d3z.1
title: Yak dung generates lower soil N retention and stimulates higher N2O emissions relative to Tibetan sheep dung in an alpine meadow on the Eastern Qinghai-Tibetan Plateau

description: The data derived from the indoor incubation experiment, and mainly showed the variation of soil properties include soil organic carbon, total nitrogen, total phosphorus, etc. and the associated N2O emission under the effects of dung addition in the alpine meadow soil, by using the 15N isotope labeling methods.
DOI: 10.17632/nj5b992df8
title: FMR1 Mutant Marmosets Show Fragile X Syndrome Phenotypes. Harbers et al.

description: Immunoblot images, transcriptome data, and proteomic data
DOI: 10.15468/dl.dbkq7q
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 2cd829bb-b713-433d-99cf-64bef11e5b3e",
 "TaxonKey is Funisciurus"
 ]
}

 The dataset includes 269 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021267-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nj5b992df8.1
title: FMR1 Mutant Marmosets Show Fragile X Syndrome Phenotypes. Harbers et al.

description: Immunoblot images, transcriptome data, and proteomic data
DOI: 10.17632/rw6ssdfytw
title: Historical Persistence of Meritocratic Selection on Citizen Compliance

description: replication data and code for "Historical Persistence of Meritocratic Selection on Citizen Compliance"
DOI: 10.17632/rw6ssdfytw.2
title: Historical Persistence of Meritocratic Selection on Citizen Compliance

description: replication data and code for "Historical Persistence of Meritocratic Selection on Citizen Compliance"
DOI: 10.17632/kwvkbr2xpz
title: Supplementary Table V. Cholerae

description: Supplementary Table
DOI: 10.17632/kwvkbr2xpz.2
title: Supplementary Table V. Cholerae

description: Supplementary Table
DOI: 10.15468/dl.32mysb
title: Occurrence Download

description: A dataset containing 466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tithonia diversifolia",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 466 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021270-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v8v3pxt6nr
title: THE QUANTIFICATION of INTERNAL TRAINING LOAD for FEMALE VOLLEYBALL PLAYERS: UTILIZING RPE-BASED METHOD

description: This dataset mainly focuses on the investigation and research of the exercise load of high-level female adolescent volleyball players in China. It mainly includes different data investigations during daily training, physical fitness, and competitions, which can comprehensively reflect the exercise load of high-level female adolescent volleyball players. It can provide more scientific and effective data support for coaches and help them make scientific training plans and arrangements.
DOI: 10.17031/686e78207ace5
title: 2023 Seasearch ReMEDIES survey for Hampshire and the Isle of Wight

description: Records from forms collected specifically within the ReMEDIES project, Hampshire and the Isle of Wight in 2023
description: Data archived into DASSH from Marine Recorder Online.
DOI: 10.17632/v8v3pxt6nr.1
title: THE QUANTIFICATION of INTERNAL TRAINING LOAD for FEMALE VOLLEYBALL PLAYERS: UTILIZING RPE-BASED METHOD

description: This dataset mainly focuses on the investigation and research of the exercise load of high-level female adolescent volleyball players in China. It mainly includes different data investigations during daily training, physical fitness, and competitions, which can comprehensively reflect the exercise load of high-level female adolescent volleyball players. It can provide more scientific and effective data support for coaches and help them make scientific training plans and arrangements.
DOI: 10.17632/7dtvs8khn5
title: Farmland management measures and soil carbon storage

description: The impact of farmland management measures on soil carbon storage potential.
DOI: 10.17632/7dtvs8khn5.1
title: Farmland management measures and soil carbon storage

description: The impact of farmland management measures on soil carbon storage potential.
DOI: 10.17632/6zdmgvshyn
title: N-nitrosodimethylamine increased glucose production by promoting hyperglycemia in hepatocyte via AMPK signaling pathway

description: Studies have shown that exposure to N-nitrosodimethylamine (NDMA), a by-product of drinking water disinfection, increases the risk of abnormal blood glucose metabolism, although the underlying mechanism remains unclear. This study investigated the effects of NDMA on glucose metabolism and related molecular pathways through in vivo and in vitro models. The research found that mice exposed to 12.5 mg/L NDMA had elevated fasting blood glucose, impaired glucose tolerance and decreased insulin sensitivity. In mouse and human MIHA hepatocytes, NDMA exposure enhances hepatic gluconeogenesis while inhibiting glycolysis. Mechanism, NDMA inhibits the phosphorylation of AMPK and FoxO1, down-regulates the expression of GLUT2 protein to reduce liver glucose uptake, and increases the level of PGC-1α protein. Dephosphorylated fox01 may translocate to the nucleus and bind to the promoters of gluconeogenesis enzymes PEPCK and G6Pase to upregulate its expression. PGC-1α can also stimulate the expression of PEPCK and G6Pase. The AMPK agonist AICAR reversed the alterations in the expressions of p-fox01, PGC-1α, GLUT2, PEPCK and G6Pase in NDMA-exposed MIHA cells, restoring glycolysis and glucose uptake capabilities. In conclusion, NDMA in drinking water leads to elevated fasting blood glucose, impaired glucose tolerance and insulin sensitivity, and increased liver gluconeogenesis through the AMPK signaling pathway.
DOI: 10.17632/6zdmgvshyn.1
title: N-nitrosodimethylamine increased glucose production by promoting hyperglycemia in hepatocyte via AMPK signaling pathway

description: Studies have shown that exposure to N-nitrosodimethylamine (NDMA), a by-product of drinking water disinfection, increases the risk of abnormal blood glucose metabolism, although the underlying mechanism remains unclear. This study investigated the effects of NDMA on glucose metabolism and related molecular pathways through in vivo and in vitro models. The research found that mice exposed to 12.5 mg/L NDMA had elevated fasting blood glucose, impaired glucose tolerance and decreased insulin sensitivity. In mouse and human MIHA hepatocytes, NDMA exposure enhances hepatic gluconeogenesis while inhibiting glycolysis. Mechanism, NDMA inhibits the phosphorylation of AMPK and FoxO1, down-regulates the expression of GLUT2 protein to reduce liver glucose uptake, and increases the level of PGC-1α protein. Dephosphorylated fox01 may translocate to the nucleus and bind to the promoters of gluconeogenesis enzymes PEPCK and G6Pase to upregulate its expression. PGC-1α can also stimulate the expression of PEPCK and G6Pase. The AMPK agonist AICAR reversed the alterations in the expressions of p-fox01, PGC-1α, GLUT2, PEPCK and G6Pase in NDMA-exposed MIHA cells, restoring glycolysis and glucose uptake capabilities. In conclusion, NDMA in drinking water leads to elevated fasting blood glucose, impaired glucose tolerance and insulin sensitivity, and increased liver gluconeogenesis through the AMPK signaling pathway.
DOI: 10.17632/8y342zxwkd
title: Characteristics of Helium Bulges and the Impact of Martian Year 34 Global Dust Storm using MAVEN/NGIMS Observations and MarsPCM and M-GITM Simulations

description: The data files represent MarsPCM (Mars Planetary Climate Model) simulated output used in the research article titled “Characteristics of Helium Bulges and the Impact of Martian Year 34 Global Dust Storm using MAVEN/NGIMS Observations and MarsPCM and M-GITM Simulations”.

It includes three .mat files, each corresponding to different figures and simulation cases described in the article. Below is a summary of each file:

1. MarsPCM_fig3-4-5_clim_helium_simulations.mat
Description: This file contains MarsPCM simulations of Helium density under a "climatology" dust scenario.
Purpose: The data in this file were used to generate Figure 3, Figure 4, and Figure 5 of the article.

2. MarsPCM_figure6_helium_simulations.mat
Description: This file contains Helium density simulations from MarsPCM under both "climatology" and "MY34" dust scenarios, covering the pre-peak, peak, and decay phases of the Mars Year 34 (MY34) Global Dust Storm.
Purpose: This data supports the analysis presented in Figure 6 of the article.

3. MarsPCM_figure8_helium_simulations.mat
Description: This file contains simulated horizontal winds from MarsPCM, under both "climatology" and "MY34" dust scenarios, specifically for the peak phase of the MY34 Global Dust Storm.
Purpose: This dataset was used to produce Figure 8 of the article.
DOI: 10.17632/8y342zxwkd.1
title: Characteristics of Helium Bulges and the Impact of Martian Year 34 Global Dust Storm using MAVEN/NGIMS Observations and MarsPCM and M-GITM Simulations

description: The data files represent MarsPCM (Mars Planetary Climate Model) simulated output used in the research article titled “Characteristics of Helium Bulges and the Impact of Martian Year 34 Global Dust Storm using MAVEN/NGIMS Observations and MarsPCM and M-GITM Simulations”.

It includes three .mat files, each corresponding to different figures and simulation cases described in the article. Below is a summary of each file:

1. MarsPCM_fig3-4-5_clim_helium_simulations.mat
Description: This file contains MarsPCM simulations of Helium density under a "climatology" dust scenario.
Purpose: The data in this file were used to generate Figure 3, Figure 4, and Figure 5 of the article.

2. MarsPCM_figure6_helium_simulations.mat
Description: This file contains Helium density simulations from MarsPCM under both "climatology" and "MY34" dust scenarios, covering the pre-peak, peak, and decay phases of the Mars Year 34 (MY34) Global Dust Storm.
Purpose: This data supports the analysis presented in Figure 6 of the article.

3. MarsPCM_figure8_helium_simulations.mat
Description: This file contains simulated horizontal winds from MarsPCM, under both "climatology" and "MY34" dust scenarios, specifically for the peak phase of the MY34 Global Dust Storm.
Purpose: This dataset was used to produce Figure 8 of the article.
DOI: 10.17632/d9nwft4bg8
title: Replication Package for "Multinational Production, Technology Diffusion, and Economic Growth"

description: Contains replication package for "Multinational Production, Technology Diffusion, and Economic Growth".
DOI: 10.17632/d9nwft4bg8.1
title: Replication Package for "Multinational Production, Technology Diffusion, and Economic Growth"

description: Contains replication package for "Multinational Production, Technology Diffusion, and Economic Growth".
DOI: 10.17632/3fxc2h5cbf
title: E-Learning Recommender DataSet

description: The dataset was obtained from arXiv and contains a series of scientific articles related to quantum computing and social science.
DOI: 10.17632/3fxc2h5cbf.1
title: E-Learning Recommender DataSet

description: The dataset was obtained from arXiv and contains a series of scientific articles related to quantum computing and social science.
DOI: 10.17632/n74wvf8mpk
title: Waterquality and buffer landscape metrics in QinhuaiRiver

description: This data is from Qinhuai River Basin, China. It contains water quality data from 19 monitoring sites and landscape data from the riparian buffer zone
DOI: 10.17632/n74wvf8mpk.2
title: Waterquality and buffer landscape metrics in QinhuaiRiver

description: This data is from Qinhuai River Basin, China. It contains water quality data from 19 monitoring sites and landscape data from the riparian buffer zone
DOI: 10.17632/vm8c8fv87s
title: Dynamic Inflammatory-Nutritional Biomarkers Predict Early Postoperative Complications in Gastric Cancer: A Retrospective Cohort Study

description: Abstract 
Background: Early postoperative complications adversely affect outcomes following gastrectomy. 
Objective: To evaluate whether dynamic inflammatory-nutritional biomarkers can predict early complications after radical gastrectomy.
Methods: In this retrospective analysis of 182 patients undergoing radical gastrectomy between July 2023 and May 2025, we assessed key inflammatory-nutritional biomarkers, including CAR and neutrophil count, on postoperative days 1 and 3. Independent predictors were identified using multivariate logistic regression and receiver operating characteristic (ROC) curve analysis.
Results: Early complications occurred in 37 patients (20.33%). Multivariate logistic regression revealed age &gt;70 years (OR=5.59, 95% CI: 1.19, 29.78), CAR&gt;1.942 on postoperative day 1 (OR=7.26, 95% CI: 1.46, 39.85), and neutrophil count on postoperative day 3 (OR=1.66, 95% CI: 1.21, 2.42) as independent predictors. Tumor location in the gastric body was associated with a reduced risk (OR=0.17, 95% CI: 0.03, 0.76). The combined model yielded superior predictive performance (AUC=0.796; sensitivity: 75.7%; specificity: 82.8%). An interactive web-based calculator was developed using the R Shiny framework to enable rapid individual risk assessment, available at https://gbdata.shinyapps.io/gastric_app/.
Conclusions: Postoperative CAR and neutrophil count, when integrated with key clinical variables, allow early risk stratification for gastric cancer surgery. This simple, cost-effective model may assist clinical decision-making and perioperative management.
Keywords: Gastric Neoplasms; C-reactive Protein-to-Albumin Ratio; Neutrophils; Postoperative Complications; ROC Curve