cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15678715
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alois Staudt, http://www.wikidata.org/entity/Q40987895. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q40987895
DOI: 10.17632/ppd2c7sz8j.2
title: Neonatal Drug ADR Association Dataset

description: The Neonatal Drug ADR Association Dataset, curated from the FDA Adverse Event Reporting System (FAERS), focuses on over 140 neonatal health conditions. It comprises approximately 145130 reported cases, from which 32441 unique instances were extracted after deduplication (Version 1). Each instance documents a suspect drug, its associated adverse drug reaction (ADR), and related metadata including drug outcome, patient gender, age, and weight. While demographic details are included, some instances have missing values due to unreported information by patients or healthcare professionals. This comprehensive and refined dataset offers valuable insights for neonatal pharmacovigilance, supporting research in drug safety, ADR pattern analysis, and treatment outcomes in this vulnerable population.

This dataset presents a comprehensive analysis of adverse drug reactions (ADRs) associated with neonatal drug use, curated from the FDA Adverse Event Reporting System (FAERS). It is based on over 140 clinically relevant neonatal reaction terms, and includes (i)Total Cases, (ii) # of Serious Cases (including deaths), and (iii) # of Death Cases, for each of the 141 neonatal conditions. The dataset is designed to support research in neonatal pharmacovigilance, drug safety assessment, and ADR risk modeling.

Metadata Included in the Dataset:

(i) Neonatal Reaction Summary (Neonatal Reaction Terms_Summary.xlsx) that contains over 140 neonatal reaction terms with corresponding Total Cases, Serious Cases (including deaths), and Death Cases.
(ii) Year-wise Reported Cases for Neonatal Conditions (xxx. Neonatal Reaction Term.xlsx) provides yearly distribution of ADR reports for each neonatal reaction term to understand longitudinal trends in ADR frequency.
(iii) Total Case Statistics (xxx. Neonatal Reaction Term_Total cases.xlsx) that tabulates Total, Serious, and Death cases to support risk quantification across neonatal conditions.
(iv) Detailed Case Listings (xxx. Neonatal Reaction Term_List of cases.xlsx) that includes individual reported case details with 24 attributes per record, notably Suspect Drug(s), Reported Reaction(s), Severity Classification, Patient Demographics (Patient Age, Sex, and Weight), and Outcome Information, and Reason for Use
DOI: 10.17632/bytghsgh46
title: Data from: Transcriptional profiling provides insights on sublethal thermal stress thresholds in juvenile bull trout

description: Size and thermal tolerance data for bull trout acclimated to 6, 9, 12, 15, 18, or 21 °C for approximately three weeks (exact dates included in file).

Weights of juvenile bull trout were recorded before and after acclimation to assess growth (tab 1). Half the fish at each temperature (n=15) were sampled at the end of the acclimation period to collect gill, liver, and muscle tissue for transcript analysis (group "Acclimation"; weight and length recorded in tab 2). The other half (n=15) were put through a critical thermal maximum testing protocol the following day (group "Ctmax"; weight, length, agitation temperature, and critical thermal maximum recorded in tab 2).
DOI: 10.17632/bytghsgh46.1
title: Data from: Transcriptional profiling provides insights on sublethal thermal stress thresholds in juvenile bull trout

description: Size and thermal tolerance data for bull trout acclimated to 6, 9, 12, 15, 18, or 21 °C for approximately three weeks (exact dates included in file).

Weights of juvenile bull trout were recorded before and after acclimation to assess growth (tab 1). Half the fish at each temperature (n=15) were sampled at the end of the acclimation period to collect gill, liver, and muscle tissue for transcript analysis (group "Acclimation"; weight and length recorded in tab 2). The other half (n=15) were put through a critical thermal maximum testing protocol the following day (group "Ctmax"; weight, length, agitation temperature, and critical thermal maximum recorded in tab 2).
DOI: 10.5281/zenodo.15678717
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Eduard Brandmayer, http://www.wikidata.org/entity/Q92596074. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q92596074
DOI: 10.5281/zenodo.11529963
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Eduard Brandmayer, http://www.wikidata.org/entity/Q92596074. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q92596074
DOI: 10.17632/bcxb55nr3s
title: Feeding difficulties in early childhood

description: Objective: The objective was to estimate the prevalence of and identify factors associated with feeding difficulties in children aged between six and 36 months.
Methods: This was a cross-sectional study of children followed up by primary health care providers. A semistructured questionnaire was used to collect socioeconomic, demographic and nutritional data. The Brazilian Infant Feeding Scale (EBAI) was used to assess feeding difficulties, and food consumption was measured using the Food Intake Markers of the Food and Nutrition Surveillance System. The associations between socioeconomic, demographic and nutritional characteristics and feeding difficulties were tested. A multiple logistic model was fitted to control for confounding variables.
Results: A total of 229 children were evaluated. The prevalence of feeding difficulties was 5.2% (95% CI: 2.9-9.0). Children with feeding difficulties presented higher mean scores for each item of the scale than did those without feeding difficulties. There was a statistically significant difference between the groups in terms of the median score on most EBAI questions (p&lt;0.05). Being male [OR: 8.68; p=0.021] and receiving government assistance [OR 6.24; p=0.031] were associated with feeding difficulties.
DOI: 10.5281/zenodo.8152555
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Elizabeth Solie Howard, http://www.wikidata.org/entity/Q108803291. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q108803291
DOI: 10.17632/bcxb55nr3s.2
title: Feeding difficulties in early childhood

description: Objective: The objective was to estimate the prevalence of and identify factors associated with feeding difficulties in children aged between six and 36 months.
Methods: This was a cross-sectional study of children followed up by primary health care providers. A semistructured questionnaire was used to collect socioeconomic, demographic and nutritional data. The Brazilian Infant Feeding Scale (EBAI) was used to assess feeding difficulties, and food consumption was measured using the Food Intake Markers of the Food and Nutrition Surveillance System. The associations between socioeconomic, demographic and nutritional characteristics and feeding difficulties were tested. A multiple logistic model was fitted to control for confounding variables.
Results: A total of 229 children were evaluated. The prevalence of feeding difficulties was 5.2% (95% CI: 2.9-9.0). Children with feeding difficulties presented higher mean scores for each item of the scale than did those without feeding difficulties. There was a statistically significant difference between the groups in terms of the median score on most EBAI questions (p&lt;0.05). Being male [OR: 8.68; p=0.021] and receiving government assistance [OR 6.24; p=0.031] were associated with feeding difficulties.
DOI: 10.5281/zenodo.15678718
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Elizabeth Solie Howard, http://www.wikidata.org/entity/Q108803291. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q108803291
DOI: 10.17632/tz3npk8xtr.1
title: Data for: Water exchange and nitrogen transformation in meander driven hyporheic zones of a pasture river in contrasting hydrological years

description: This dataset is the original data of the paper “Water exchange and nitrogen transformation in meander driven hyporheic zones of a pasture river in contrasting hydrological years”. The dataset includes water level data and water chemistry data during the rainy season of a wet year 2021 and a normal year 2022. All the water level and concentration data were obtained by in situ monitoring in a meandering river bend in the upstream Xilin River, which is located in the central Inner Mongolia, China (43°37′11.2″N, 116°42′23.6″E). The water chemistry data include the concentration of Dissolved Organic Nitrogen (DON), DIN species (NO3-, NO2-, NH4+) and Dissolved Oxygen (DO). High-resolution groundwater level was collected in the riparian zone. Five lateral transects (T1-T5) were set up along the meander reach to investigate the hyporheic exchange flow (Fig. 1). Along each transect, three monitoring points were installed, with one in the middle of river channel, and one on each bank 2 m away from the river edge. For each instream point at C1 (inlet), C3 (apex) and C5 (outlet), three PVC piezometers with 5 cm diameter were installed to depths of 20 cm, 50 cm and 100 cm below the riverbed surface to observe groundwater heads at multiple depths. For the instream points at C2 and C4, one PVC piezometer was installed at the depth of 100 cm below the riverbed surface. For the monitoring points on each bank, one piezometer was installed to 150 cm depth below the ground surface. Along the transect at the meander apex (T3), we established two more piezometers in the inner bank of the meander, located 6 m and 10 m away from the river edge.
DOI: 10.17632/fvhmttgc3s.1
title: A longitudinal dataset of sector-level patent data for Europe

description: This dataset contains information on patent applications and grants at the 2-digit ISIC Rev.4/NACE Rev.2 sector level for a set of 24 European countries from 1985 to 2020. The data are assigned to sectors by applying the Lybbert & Zolas (2014) weights of sector-technology field correspondence to European Patent Office (EPO) patent data retrieved from OECD. The dataset provides patent data based on the applicant’s and inventor’s country of residence, on an annual basis, in two formats: i) patent applications and grants (flows), and ii) patent applications’ and grants’ stocks, estimated through the perpetual inventory method (PIM) using a 15% deprecation rate. 

It was developed in the Laboratory of Industrial and Energy Economics of the National Technical University of Athens by Dr. D. Stamopoulos and Dr. P. Dimas under the supervision of Assistant Professor Aimilia Protogerou (principal investigator of GRinGVCs). The "Leveraging Global Value Chains for Innovation and Competitiveness: The Case of Greece" (GRinGVCs) project is carried out within the framework of the National Recovery and Resilience Plan Greece 2.0, funded by the European Union – NextGenerationEU (Implementation body: HFRI - Project Number: HFRI-016667).
DOI: 10.17632/4pc846chy8
title: Data_Consumption_NaturalH2_by_sedimentary_organic_matter

description: Data for "Consumption of natural hydrogen by sedimentary organic matter" by Xia and Gao 2025:
results of quantum chemical simulations (Cartesian coordinates, vibrational frequencies, and energies) and calculations to obtain Figs. 2-4 as a Microsoft Excel file.
DOI: 10.5281/zenodo.15678722
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Harold W. Pretz, http://www.wikidata.org/entity/Q127699291. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q127699291
DOI: 10.17632/4pc846chy8.2
title: Data_Consumption_NaturalH2_by_sedimentary_organic_matter

description: Data for "Consumption of natural hydrogen by sedimentary organic matter" by Xia and Gao 2025:
results of quantum chemical simulations (Cartesian coordinates, vibrational frequencies, and energies) and calculations to obtain Figs. 2-4 as a Microsoft Excel file.
DOI: 10.17632/kz7cpw3bnt
title: Rewired type I IFN signaling is linked to age-dependent differences in COVID-19

description: This repository contains code and additional resources that can be used to reproduce the analysis from Petrov. et. al. "Rewired type I IFN signaling is linked to age-dependent differences in COVID-19" as well as some supplementary figures and tables.

Corresponding whole blood CyTOF and pre-processed PBMC scRNAseq data can be found on Figshare https://figshare.com/s/dc50797136d4d90c6f48.
PBMC scRNAseq data is also deposited as pre-filtered count tables accompanied by metadata on GEO under the GSE271284 accession number.

Please see Resources Table from the publication as well as comments inside of scripts for instructions on how to use the code provided.

-Gating_CyTOF.pdf shows pre-gating strategy for the CyTOF data.
-Gating_PBMC_activation.pdf shows pre-gating strategy from the in vitro activation experiment flow cytometry.
-Gating_pSTAT_PBMC_activation.pdf shows pre-gating strategy from the in vitro STAT phosphorylation experiment flow cytometry.
-Mendeley Figure 1.pdf shows the relationship between main CyTOF findings and days post symptom onset.
-Mendeley Figure 2.pdf shows boxplots with an alternative stratification of patients according to the disease severity for the clusters highlighed in the publication.
-Mendeley Supplementary Table 1.xlsx contains information on the number of cells included in the CyTOF and scRNAseq analyses (by cluster, patient group).

The scripts have been tested using Ubuntu 20.04.5 LTS under WSL2, Windows 11 and R 4.2.2 (patched) as well as RStudio (versions 2022.03 till 2023.09). List of package versions is presented in the Resources Table and stated in the Methods section of the publication.
No specific installation is required to run the scripts besides R language (4.2.2 tested) and the packages listed in the beginning of the master scripts. There, user will also find a number of useful links if they e.g. choose to run R in WSL2. In order to run the scripts on data, user needs to download the data, including the metafiles, from either the Figshare repository (https://figshare.com/s/dc50797136d4d90c6f48) or the GEO repository (GSE271284), replicate the folder structure as stated in the scripts or change the paths to correspond to the chosen folder structure and run the scripts starting with the respective master script. Expected output includes .csv tables, .png and .pdf plots as well as normalized .fcs files (for CyTOF normalization script). It is recommended to use a single module (e.g. B cells) to demo the code. Expected runtime varies based on the system, but should not be more than a couple of hours for both the CyTOF and the scRNAseq scripts. Script output should be reproducible if using the same seed input value as seen in the script files.
DOI: 10.17632/kz7cpw3bnt.1
title: Rewired type I IFN signaling is linked to age-dependent differences in COVID-19

description: This repository contains code and additional resources that can be used to reproduce the analysis from Petrov. et. al. "Rewired type I IFN signaling is linked to age-dependent differences in COVID-19" as well as some supplementary figures and tables.

Corresponding whole blood CyTOF and pre-processed PBMC scRNAseq data can be found on Figshare https://figshare.com/s/dc50797136d4d90c6f48.
PBMC scRNAseq data is also deposited as pre-filtered count tables accompanied by metadata on GEO under the GSE271284 accession number.

Please see Resources Table from the publication as well as comments inside of scripts for instructions on how to use the code provided.

-Gating_CyTOF.pdf shows pre-gating strategy for the CyTOF data.
-Gating_PBMC_activation.pdf shows pre-gating strategy from the in vitro activation experiment flow cytometry.
-Gating_pSTAT_PBMC_activation.pdf shows pre-gating strategy from the in vitro STAT phosphorylation experiment flow cytometry.
-Mendeley Figure 1.pdf shows the relationship between main CyTOF findings and days post symptom onset.
-Mendeley Figure 2.pdf shows boxplots with an alternative stratification of patients according to the disease severity for the clusters highlighed in the publication.
-Mendeley Supplementary Table 1.xlsx contains information on the number of cells included in the CyTOF and scRNAseq analyses (by cluster, patient group).

The scripts have been tested using Ubuntu 20.04.5 LTS under WSL2, Windows 11 and R 4.2.2 (patched) as well as RStudio (versions 2022.03 till 2023.09). List of package versions is presented in the Resources Table and stated in the Methods section of the publication.
No specific installation is required to run the scripts besides R language (4.2.2 tested) and the packages listed in the beginning of the master scripts. There, user will also find a number of useful links if they e.g. choose to run R in WSL2. In order to run the scripts on data, user needs to download the data, including the metafiles, from either the Figshare repository (https://figshare.com/s/dc50797136d4d90c6f48) or the GEO repository (GSE271284), replicate the folder structure as stated in the scripts or change the paths to correspond to the chosen folder structure and run the scripts starting with the respective master script. Expected output includes .csv tables, .png and .pdf plots as well as normalized .fcs files (for CyTOF normalization script). It is recommended to use a single module (e.g. B cells) to demo the code. Expected runtime varies based on the system, but should not be more than a couple of hours for both the CyTOF and the scRNAseq scripts. Script output should be reproducible if using the same seed input value as seen in the script files.
DOI: 10.15468/dl.k8t22c
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sophora cassioides (F.Phil.) Sparre",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 283 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049680-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yw4my59xrg
title: DataSet Fondecyt1211905

description: Dataset with data generated from simulated meeting videos.
DOI: 10.17632/yw4my59xrg.3
title: DataSet Fondecyt1211905

description: Dataset with data generated from simulated meeting videos.
DOI: 10.17632/fg97mhsdbr
title: GeoSetEnnea: A Multi-Class Image Dataset for Object Detection of Geometric Tools

description: GeoSetEnnea is a curated image dataset developed to support object detection research focused on geometric tools commonly used in educational, design, and industrial settings. The dataset was created to address the gap in publicly available resources representing such tools, which are often used in academic and technical settings but are underrepresented in computer vision studies.

The dataset contains 966 annotated images with 8253 annotations of 9 different classes of geometric tools, including compasses, protractors, erasers, set squares etc. Images were captured using three different smartphone models under various lighting conditions, angles, and backgrounds across several stationery shops and libraries in Dhaka, Bangladesh. This diversity enhances the generalizability and robustness of object detection models trained on this dataset.

All images were annotated with bounding boxes using the Roboflow platform and are split into training (70%), validation (20%), and testing (10%) sets. The dataset includes a structured folder hierarchy and metadata files to facilitate easy integration into object detection workflows. Preprocessing steps such as auto-orientation, resizing (640×640), and data augmentation (e.g., flips, brightness, contrast, gamma correction) were applied to improve dataset quality.

Our hypothesis is that a diverse, real-world dataset of shape-similar tools can significantly improve model performance in practical detection scenarios. This is validated by training 4 state-of-the-art models: YOLOv7, YOLOv8, YOLOv11, and RF-DETR on GeoSetEnnea. RF-DETR achieved the highest performance with a mAP@50 of 99.6%, demonstrating the dataset's reliability and effectiveness.

Researchers and developers can use GeoSetEnnea to train and benchmark detection systems for educational applications (e.g., virtual classrooms), mobile learning tools, or inventory management systems. The dataset structure and documentation ensure clarity on data origin, labeling, and intended usage, supporting reproducible and impactful research.
DOI: 10.17632/fg97mhsdbr.1
title: GeoSetEnnea: A Multi-Class Image Dataset for Object Detection of Geometric Tools

description: GeoSetEnnea is a curated image dataset developed to support object detection research focused on geometric tools commonly used in educational, design, and industrial settings. The dataset was created to address the gap in publicly available resources representing such tools, which are often used in academic and technical settings but are underrepresented in computer vision studies.

The dataset contains 966 annotated images with 8253 annotations of 9 different classes of geometric tools, including compasses, protractors, erasers, set squares etc. Images were captured using three different smartphone models under various lighting conditions, angles, and backgrounds across several stationery shops and libraries in Dhaka, Bangladesh. This diversity enhances the generalizability and robustness of object detection models trained on this dataset.

All images were annotated with bounding boxes using the Roboflow platform and are split into training (70%), validation (20%), and testing (10%) sets. The dataset includes a structured folder hierarchy and metadata files to facilitate easy integration into object detection workflows. Preprocessing steps such as auto-orientation, resizing (640×640), and data augmentation (e.g., flips, brightness, contrast, gamma correction) were applied to improve dataset quality.

Our hypothesis is that a diverse, real-world dataset of shape-similar tools can significantly improve model performance in practical detection scenarios. This is validated by training 4 state-of-the-art models: YOLOv7, YOLOv8, YOLOv11, and RF-DETR on GeoSetEnnea. RF-DETR achieved the highest performance with a mAP@50 of 99.6%, demonstrating the dataset's reliability and effectiveness.

Researchers and developers can use GeoSetEnnea to train and benchmark detection systems for educational applications (e.g., virtual classrooms), mobile learning tools, or inventory management systems. The dataset structure and documentation ensure clarity on data origin, labeling, and intended usage, supporting reproducible and impactful research.