cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28908704.v1
title: Transcriptome-wide study of mRNAs modified by m<sup>6</sup>A RNA methylation in the testis development of dairy goats

description: N6-methyladenosine (m<sup>6</sup>A) is an important epigenetic modification in RNA, playing a crucial role in regulating the production and aging of animal testicular sperm. This study extracted mRNA from the testicular tissue of male goats before and after sexual maturity, generating a methylation map through preliminary experiments and methylation immunoprecipitation sequencing. The results showed that during the development of dairy goats, the expression levels of marker genes related to testicular development and methylation-related enzymes changed significantly. A total of 36,602 peaks and 11,223 genes were identified in the two groups, including 2989 differential peaks (427 upregulated and 2562 downregulated) and 1457 differentially expressed genes (833 upregulated and 624 downregulated). The abundance of m<sup>6</sup>A was positively correlated with gene expression levels. This study reports for the first time the mRNA profiles of m<sup>6</sup>A modifications across the entire transcriptome during testicular development in Guanzhong dairy goats, providing a new perspective for genetic improvement in goats.
DOI: 10.6084/m9.figshare.28732969
title: Identification of key factors causing ketosis in dairy cows with low feed intake

description: Ketosis is a common metabolic disease in high-yield dairy cows. Key genes affecting ketosis need to be further explored by new methods. The gene expression profiling and clinical data of GSE92398, GSE104079, and GSE4304 were obtained from the gene expression omnibus (GEO) database. Core modules and genes associated with RFI (residual feed intake) and ADF (alternate day fasting) were identified by weighted gene co-expression network analysis (WGCNA). Subsequently, the key genes related to ketosis and RFI were determined by protein-protein interaction (PPI) networks, ROC curves, functional enrichment, and differential expression analysis, respectively. The results showed that the genes of ACACA, ELOVL6 and XPO7 could be used as regulators of ketosis induced by low feed intake in dairy cows. At the same time, three genes (HRFI, STAT3 and IFNAR1) were retained as additional RFI biomarkers that could be considered. We identified three key factors as candidate genes and biomarkers of ketosis and RFI, respectively. These factors may provide a theoretical basis for targeted therapy of ketosis in dairy cows.
DOI: 10.6084/m9.figshare.28732969.v1
title: Identification of key factors causing ketosis in dairy cows with low feed intake

description: Ketosis is a common metabolic disease in high-yield dairy cows. Key genes affecting ketosis need to be further explored by new methods. The gene expression profiling and clinical data of GSE92398, GSE104079, and GSE4304 were obtained from the gene expression omnibus (GEO) database. Core modules and genes associated with RFI (residual feed intake) and ADF (alternate day fasting) were identified by weighted gene co-expression network analysis (WGCNA). Subsequently, the key genes related to ketosis and RFI were determined by protein-protein interaction (PPI) networks, ROC curves, functional enrichment, and differential expression analysis, respectively. The results showed that the genes of ACACA, ELOVL6 and XPO7 could be used as regulators of ketosis induced by low feed intake in dairy cows. At the same time, three genes (HRFI, STAT3 and IFNAR1) were retained as additional RFI biomarkers that could be considered. We identified three key factors as candidate genes and biomarkers of ketosis and RFI, respectively. These factors may provide a theoretical basis for targeted therapy of ketosis in dairy cows.
DOI: 10.6084/m9.figshare.28183192
title: Genome wide landscaping of copy number variations for horse inter-breed variability

description: Copy number variations (CNVs) have become widely acknowledged as a significant source of genomic variability and phenotypic variance. To understand the genetic variants in horses, CNVs from six Indian horse breeds, <i>namely,</i> Manipuri, Zanskari, Bhutia, Spiti, Kathiawari and Marwari were discovered using Axiom<sup>™</sup> Equine Genotyping Array. These breeds differed in agro-climatic adaptation with distinct phenotypic characters. A total of 2668 autosomal CNVs and 381 CNV regions (CNVRs) were identified with PennCNV tool. DeepCNV was employed to re-validate to get 883 autosomal CNVs, of which 9.06% were singleton type. A total of 180 CNVRs were identified after DeepCNV filtering with the estimated length of 3.12 Kb–4.90 Mb. The functional analysis showed the majority of the CNVRs genes enriched for sensory perception and olfactory receptor activity. An Equine CNVs database, EqCNVdb (http://backlin.cabgrid.res.in/eqcnvdb/) was developed which catalogues detailed information on the horse CNVs, CNVRs and gene content within CNVRs. Also, three random CNVRs were validated with real-time polymerase chain reaction. These findings will aid in the understanding the horse genome and serve as a preliminary foundation for future CNV association research with commercially significant equine traits. The identification of CNVs and CNVRs would lead to better insights into genetic basis of important traits.
DOI: 10.6084/m9.figshare.28183192.v1
title: Genome wide landscaping of copy number variations for horse inter-breed variability

description: Copy number variations (CNVs) have become widely acknowledged as a significant source of genomic variability and phenotypic variance. To understand the genetic variants in horses, CNVs from six Indian horse breeds, <i>namely,</i> Manipuri, Zanskari, Bhutia, Spiti, Kathiawari and Marwari were discovered using Axiom<sup>™</sup> Equine Genotyping Array. These breeds differed in agro-climatic adaptation with distinct phenotypic characters. A total of 2668 autosomal CNVs and 381 CNV regions (CNVRs) were identified with PennCNV tool. DeepCNV was employed to re-validate to get 883 autosomal CNVs, of which 9.06% were singleton type. A total of 180 CNVRs were identified after DeepCNV filtering with the estimated length of 3.12 Kb–4.90 Mb. The functional analysis showed the majority of the CNVRs genes enriched for sensory perception and olfactory receptor activity. An Equine CNVs database, EqCNVdb (http://backlin.cabgrid.res.in/eqcnvdb/) was developed which catalogues detailed information on the horse CNVs, CNVRs and gene content within CNVRs. Also, three random CNVRs were validated with real-time polymerase chain reaction. These findings will aid in the understanding the horse genome and serve as a preliminary foundation for future CNV association research with commercially significant equine traits. The identification of CNVs and CNVRs would lead to better insights into genetic basis of important traits.
DOI: 10.15468/dl.sdqmf8
title: Occurrence Download

description: A dataset containing 7005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma mavortium",
 "Year 1979-2026"
 ]
}

 The dataset includes 7005 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003557-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/yvcbm9
title: Leuconidae Sars, 1878 (Crustacea: Cumacea) from the southwestern Atlantic, filling the distribution gap along the Brazilian coast

description: This dataset contains the digitized treatments in Plazi based on the original journal article Brito, Ayrton Do Ramo, Serejo, Cristiana Silveira (2023): Leuconidae Sars, 1878 (Crustacea: Cumacea) from the southwestern Atlantic, filling the distribution gap along the Brazilian coast. Zootaxa 5383 (2): 101-134, DOI: 10.11646/zootaxa.5383.2.1, URL: https://www.mapress.com/zt/article/download/zootaxa.5383.2.1/52444AbstractThe family Leuconidae Sars, 1878 is one of the eight widely recognized families of Cumacea and can be found in all oceans, but often in deeper waters (&gt; 200 m). Despite its worldwide distribution, Southwestern Atlantic records were restricted to Argentina and Uruguay, indicating a gap in the knowledge of the group along the Brazilian coast. Samples were collected in the Campos, Espírito Santo and Santos Basins with box core and/or van Veen grabs between 16–3000 m in depth. Atotal of five new species and a new genus are described herein. Leucon (Alytoleucon) rhuanae sp. nov., Leucon (Crymoleucon) pseudograndidentatus sp. nov., Leucon (Macrauloleucon) watlingi sp. nov., Eudorella helenae sp. nov. and Gyneleucon tripedium gen. et sp. nov. The lack of knowledge on cumacean leuconids along the Brazilian coast is clearly a result of taxonomic impediment. The present study is an effort towards understanding and revealing the Cumacea fauna from the Brazilian margin, bringing new data on the family Leuconidae found in the continental shelf and slope of the Espírito Santo, Campos and Santos Basins, areas with high oil and gas exploration. Promoting the characterization of these areas is essential to a wide understanding of the local species richness and consequently provides tools for preservation and monitoring activities.
DOI: 10.7910/dvn/p0zv3p
title: Replication Data for: Bridging the Information Gap Government Policy, Credit Availability, and Corporate Innovation in China

description: This dataset provides the replication materials for the study "Bridging the Information Gap...". The study uses a DID model to examine the effect of China's Industry-Finance Cooperation Pilot Program on corporate credit availability and innovation.
DOI: 10.15468/dl.cm6fse
title: Occurrence Download

description: A dataset containing 1861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Burramys parvus"
 ]
}

 The dataset includes 1861 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003559-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tveszt
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bitis armata"
 ]
}

 The dataset includes 51 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003562-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17701355
title: Datasets and Model for "Global Finite-Frequency Tomography of the 220-km Discontinuity"

description: This directory contains the Model, Data and plotting scripts used in "Global Finite-Frequency Tomography of the 220-km Discontinuity" (Sun & Zhou, 2025, GJI)
DOI: 10.17632/xthmmpx35w
title: The fitting coefficients and calculating codes for parameters of ngWSGG-P

description: The fitting coefficients of wall emissivity and absorptivity are updated in this version. The fitting coefficients for parameters of ngWSGG-P are stored in this files. The parameters including absorption coefficients, weighting factors, wall emissivity and absorptivty of ngWSGG-P are calculated by the codes in this material.
DOI: 10.17632/xthmmpx35w.2
title: The fitting coefficients and calculating codes for parameters of ngWSGG-P

description: The fitting coefficients of wall emissivity and absorptivity are updated in this version. The fitting coefficients for parameters of ngWSGG-P are stored in this files. The parameters including absorption coefficients, weighting factors, wall emissivity and absorptivty of ngWSGG-P are calculated by the codes in this material.
DOI: 10.17632/rnfzzy4wz6
title: Clinically Validated CBC Dataset of 7,196 Samples for Hematological Disorder Analysis

description: This dataset contains 7,196 clinically validated complete blood count (CBC) samples collected from patients at Noakhali 3814, Bangladesh. The data include standard hematological parameters such as hemoglobin, red blood cells, white blood cells, platelets, lymphocyte percentage, monocyte percentage, hematocrit percentage, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, and red cell distribution width percentage, along with patient age and gender. All samples have been anonymized to protect patient privacy.

The dataset is intended for research on hematological disorders, machine learning modeling, and biomedical data analysis. It can be used for classification, prediction, and other computational studies in hematology.

Ethical approval: The data collection and use were approved by the Ethics Committee of Noakhali Science and Technology University (Reference no. NSTU/SCI/EC/2025/420).
DOI: 10.17632/rnfzzy4wz6.1
title: Clinically Validated CBC Dataset of 7,196 Samples for Hematological Disorder Analysis

description: This dataset contains 7,196 clinically validated complete blood count (CBC) samples collected from patients at Noakhali 3814, Bangladesh. The data include standard hematological parameters such as hemoglobin, red blood cells, white blood cells, platelets, lymphocyte percentage, monocyte percentage, hematocrit percentage, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, and red cell distribution width percentage, along with patient age and gender. All samples have been anonymized to protect patient privacy.

The dataset is intended for research on hematological disorders, machine learning modeling, and biomedical data analysis. It can be used for classification, prediction, and other computational studies in hematology.

Ethical approval: The data collection and use were approved by the Ethics Committee of Noakhali Science and Technology University (Reference no. NSTU/SCI/EC/2025/420).
DOI: 10.15468/dl.rrew5t
title: Occurrence Download

description: A dataset containing 137793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Hyla arborea"
 ]
}

 The dataset includes 137793 records from 927 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005931-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/4re4lr
title: Replication Data for: Security and Economic Legacies of Population Resettlement: Evidence from Manchuria

description: Replication Data for: Security and Economic Legacies of Population Resettlement: Evidence from Manchuria
DOI: 10.5281/zenodo.13619393
title: Characterization of Unsaturated Hydraulic Properties of Super Absorbent Polymer Treated Sandy Soils using Evaporation Method
DOI: 10.5281/zenodo.15204257
title: Characterization of Unsaturated Hydraulic Properties of Super Absorbent Polymer Treated Sandy Soils using Evaporation Method
DOI: 10.5281/zenodo.15365592
title: MOSAIK

description: CosMx and Xenium dataset for running the Jupyter notbooks available on the associated Github: https://github.com/anthbapt/MOSAIK
DOI: 10.5281/zenodo.17700741
title: MOSAIK

description: CosMx and Xenium dataset for running the Jupyter notbooks available on the associated Github: https://github.com/anthbapt/MOSAIK
DOI: 10.15468/dl.57ubr7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "TaxonKey is Pyxis planicauda"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005958-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5cr5ns0k
title: MassIVE MSV000100000 - Environmental water samples positive
title: Water samples collected from an city stream analyzed under positive ionization mode
DOI: 10.14470/7m341834
title: Seismological experiment at Strokkur from 2020

description: Seismological experiment at Strokkur from 2020" is a seismological experiment realized at the most active geyser on Iceland by Eva Eibl (University of Potsdam) in collaboration with Gylfi P. Hersir formerly at ISOR Iceland. The geyser is part of the Haukadalur geothermal area in south Iceland, which contains numerous geothermal anomalies, hot springs, and basins (Walter et al., 2018). Strokkur is a pool geyser and has a silica sinter edifice with a water basin on top, which is about 12m in diameter with a central tube of more than 20m depth. The aim of the seismic experiment is to monitor eruptions of Strokkur geyser from March 2020 using three broadband seismic stations (Nanometrics Trillium Compact 120s). Sensors were buried at distances of 38.8m (GE4, SE), 47.3m (GE3, SW), and 42.5m (GE2, N) from Strokkur center. Within this time period about 1 month of data is missing due to power outages. At any other times at least one station recorded the eruptions. From this dataset, converted to MSEED using Pyrocko, currently a catalogue of 506,131 water fountains was determined and further investigated in Eibl et al. (2025). In addition, Eibl et al. (2025) assessed the effect of the weather on the system including the bubble trap suspected at around 24 m depth by Eibl et al. (2021). Waveform data are available from the GEOFON data centre, under network code 2Z.
DOI: 10.15468/dl.dkeva6
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plantación de árboles nativos con fines de restauración en el departamento de Cundinamarca, como parte de la iniciativa 180 millones de árboles nativos"
 ]
}

 The dataset includes 97 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005960-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr39586
title: Expanding Patient-Reported Outcomes Measurement Information System (PROMIS) Item Bank Development to the Pregnant Population [Methods Study], United States, 2017-2022
title: Archival Version

description: Understanding patients' expectations and their experiences can help hospitals improve care. Hospitals often send surveys to patients to ask about their care. To create surveys quickly, hospitals sometimes pick questions from an item bank. An item bank is a list of survey questions available to use about a specific topic.
In this study, the research team created an item bank about childbirth care. The team used the item bank to create and carry out a survey about women's preferences and experiences with care during and after childbirth. The team looked at which questions related closely to women's overall ratings of their hospital care.
description: To use the Patient-Reported Outcomes Management Information System (PROMIS) methodology to develop an item bank of survey questions to measure the childbirth values, preferences, and experiences of women receiving childbirth and postpartum care services in a hospital and to use the item bank to develop a survey for validity testing
description: Item bank are collections of survey questions that researchers can use to create new surveys quickly. With input from community partners, healthcare providers, and advocates for pregnant women, the research team developed an item bank of survey questions to measure hospital childbirth experience from the patient perspective. The team tested a subset of questions from the item bank and validated questions in the survey to see which items were predictors of hospital satisfaction.
First, the team performed a literature review to find patient-reported survey items that measure women's values and preferences for childbirth services as well as experiences and outcomes, including satisfaction with hospital childbirth services. The team then developed domains and additional survey items by using methods adapted from PROMIS, including focus groups with women to identify missing content domains.
Community partners prioritized questions from the item bank, which the research team used to develop a survey. Using responses from 30 English-speaking women, the team assessed the survey for content and construct validity, interpretability, and respondent and administrative burden for online administration. The team created a Spanish version using similar methods.
The research team fielded the values and preferences of questions in the survey online to a national sample of 2,757 adult women who were at least 20 weeks pregnant. Of these women, 38% had at least some college education. The women completed the experiences and outcomes survey questions after they gave birth.
description: Datasets: 
DS1: Expanding Patient-Reported Outcomes Measurement Information System (PROMIS) Item Bank Development to the Pregnant Population [Methods Study], United States, 2017-2022
description: Female adults who were at least 20 weeks pregnant, based in United States.