cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nw26nvv527
title: CONIFERS

description: Conifers are woody plants characterized by needle or scale like leaves and are known as Gymnosperms.They have woody cones for reproduction and are known to have naked seeds, and are evergreen in nature. They are adapted to cold climatic conditions with conical shapes to shed snow and have waxy coatings to prevent water loss.
Few conifers are deciduous plants.They come under the order Pinales in the division Pinophyta.
Conifers come in over 550 different varieties , some of which are Deodarh, Spruce, Fir and Juniper that form vital temperate forest with soft wood.These are found in the western and Eastern Himalayas.
These Alpine forests have unique ecosystem and is shaped by unique biodiversity.
Certain resources like resin, timbre, paper are produced from such plants.
Conifers are the world's tallest and heaviest plants and can survive harsh climatic conditions and survive at high altitudes .
Smallest conifers is seldom taller than 30 cm and is found in Newzealand.
DOI: 10.13018/bmr51474
title: tirE Coiled Coil
DOI: 10.17632/nw26nvv527.8
title: CONIFERS

description: Conifers are woody plants characterized by needle or scale like leaves and are known as Gymnosperms.They have woody cones for reproduction and are known to have naked seeds, and are evergreen in nature. They are adapted to cold climatic conditions with conical shapes to shed snow and have waxy coatings to prevent water loss.
Few conifers are deciduous plants.They come under the order Pinales in the division Pinophyta.
Conifers come in over 550 different varieties , some of which are Deodarh, Spruce, Fir and Juniper that form vital temperate forest with soft wood.These are found in the western and Eastern Himalayas.
These Alpine forests have unique ecosystem and is shaped by unique biodiversity.
Certain resources like resin, timbre, paper are produced from such plants.
Conifers are the world's tallest and heaviest plants and can survive harsh climatic conditions and survive at high altitudes .
Smallest conifers is seldom taller than 30 cm and is found in Newzealand.
DOI: 10.13018/bmr51475
title: 53BP1 1140-1225
DOI: 10.13018/bmr51476
title: Androgen Receptor C-terminal NTD
DOI: 10.17632/tgs2r22w8f
title: Base_use_review

description: We compile an annual panel for 26 African rice economies observed from 2008 to 2023. The dependent variable is the female NEET rate, where NEET means “Not in Employment, Education or Training”.
DOI: 10.13018/bmr51478
title: Relaxation peaklist data of TcART
DOI: 10.17632/tgs2r22w8f.1
title: Base_use_review

description: We compile an annual panel for 26 African rice economies observed from 2008 to 2023. The dependent variable is the female NEET rate, where NEET means “Not in Employment, Education or Training”.
DOI: 10.13018/bmr51479
title: Androgen Receptor AF1star
DOI: 10.13018/bmr51480
title: Androgen Receptor NTD
DOI: 10.13018/bmr51481
title: Chemical Shift Assignments of CT-IC 216-260
DOI: 10.17632/4rfgddv365
title: Raw LC–MS/MS proteomic dataset of testicular tissue from control, obese, and diabetic adult male rats

description: Study question: Do obesity and diabetes alter testicular metabolic pathways and reproductive protein abundance in adult male rats?

This dataset presents proteomic data derived from a controlled experimental study including adult male Wistar rats distributed into three groups: control, diabetic, and obese (n = 5 per group). Obesity was induced over 38 weeks using a high-calorie diet supplemented with 5% sucrose in drinking water (ad libitum). Diabetes was induced 53 days prior to euthanasia by a single intraperitoneal streptozotocin injection (35 mg/kg). After euthanasia, testicular tissues were carefully dissected, immediately processed for protein extraction, and prepared for shotgun LC–MS/MS proteomic analysis.

Data files are structured into separate folders according to experimental group (control, diabetic, and obese), and each folder contains the individual raw mass spectrometry files from the corresponding biological replicates.
DOI: 10.5281/zenodo.18787892
title: CRANE a Pre-Commercial Procurement, Horizon 2020 project Grant Number 965277: Data collected from lessons learned phase 1

description: Background: CRANE is a Horizon 2020 Pre-Commercial Procurement project. The aim is to develop an integrated and flexible self-management system for treating chronic patients at home in rural areas. Learning and improvements running CRANE have been part of the development process.

Objective: This Lessons Learned study aims to help the partners with knowledge sharing and improvements in running the early phase of the CRANE PCP process. The suggested learnings and improvements can be useful for other internet and digital-based Pre-Commercial Procurement projects. 

The data found here is used in the article: "LESSONS LEARNED STARTING AND RUNNING THE FIRST PHASE OF THE CRANE PCP PROCESS"
DOI: 10.13018/bmr51483
title: Solid-state NMR assignment of fibrils formed by tau(297-391)
DOI: 10.17632/4rfgddv365.1
title: Raw LC–MS/MS proteomic dataset of testicular tissue from control, obese, and diabetic adult male rats

description: Study question: Do obesity and diabetes alter testicular metabolic pathways and reproductive protein abundance in adult male rats?

This dataset presents proteomic data derived from a controlled experimental study including adult male Wistar rats distributed into three groups: control, diabetic, and obese (n = 5 per group). Obesity was induced over 38 weeks using a high-calorie diet supplemented with 5% sucrose in drinking water (ad libitum). Diabetes was induced 53 days prior to euthanasia by a single intraperitoneal streptozotocin injection (35 mg/kg). After euthanasia, testicular tissues were carefully dissected, immediately processed for protein extraction, and prepared for shotgun LC–MS/MS proteomic analysis.

Data files are structured into separate folders according to experimental group (control, diabetic, and obese), and each folder contains the individual raw mass spectrometry files from the corresponding biological replicates.
DOI: 10.5281/zenodo.18787891
title: CRANE a Pre-Commercial Procurement, Horizon 2020 project Grant Number 965277: Data collected from lessons learned phase 1

description: Background: CRANE is a Horizon 2020 Pre-Commercial Procurement project. The aim is to develop an integrated and flexible self-management system for treating chronic patients at home in rural areas. Learning and improvements running CRANE have been part of the development process.

Objective: This Lessons Learned study aims to help the partners with knowledge sharing and improvements in running the early phase of the CRANE PCP process. The suggested learnings and improvements can be useful for other internet and digital-based Pre-Commercial Procurement projects. 

The data found here is used in the article: "LESSONS LEARNED STARTING AND RUNNING THE FIRST PHASE OF THE CRANE PCP PROCESS"
DOI: 10.13018/bmr51485
title: Chemical shift assignments of the C-terminal domain of AKAP5 (AKAP79), residues 300-427
DOI: 10.17632/ppfvhkvr5r
title: Associations between clinical features, histopathologic patterns, and comorbidities in granuloma annulare

description: Supplementary material for "Associations between clinical features, histopathologic patterns, and comorbidities in granuloma annulare."
DOI: 10.13018/bmr51486
title: Assignment of SAM1-SASH1 domain
DOI: 10.17632/ppfvhkvr5r.1
title: Associations between clinical features, histopathologic patterns, and comorbidities in granuloma annulare

description: Supplementary material for "Associations between clinical features, histopathologic patterns, and comorbidities in granuloma annulare."
DOI: 10.13018/bmr51487
title: Chemical Shift Assignments RECQ4(322-400)
DOI: 10.15468/dl.avfehr
title: Occurrence Download

description: A dataset containing 3357301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20 -38,55 -38,55 38,-20 38,-20 -38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ploceidae"
 ]
}

 The dataset includes 3357301 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003601-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13018/bmr51488
title: Backbone assignment of the LCC PETase
DOI: 10.13018/bmr51489
title: NMR assignment of the mCherry protein
DOI: 10.13018/bmr51490
title: UNC-89 SH3 domain (residues 61-128)
DOI: 10.13018/bmr51491
title: MEC-2 C-terminal disordered region (residues 372-481)
DOI: 10.13018/bmr51492
title: NTD TDP-43 with 3% SB3-10
DOI: 10.17632/t62ksn5s27
title: Firm-Level Panel Data for Inflation Accounting and Earnings Quality Analysis (Borsa Istanbul, 2019–2024)

description: Firm-Level Panel Data for Inflation Accounting and Earnings Quality Analysis (Borsa Istanbul, 2019–2024)
DOI: 10.13018/bmr51494
title: Backbone 1H, 13C, and 15N Chemical Shift Assignments for TDP-43 low complexity domain with methionine sulfoxide modifications
DOI: 10.17632/t62ksn5s27.1
title: Firm-Level Panel Data for Inflation Accounting and Earnings Quality Analysis (Borsa Istanbul, 2019–2024)

description: Firm-Level Panel Data for Inflation Accounting and Earnings Quality Analysis (Borsa Istanbul, 2019–2024)
DOI: 10.13018/bmr51495
title: Backbone and side chain NMR assignment of the heme-nitric oxide/oxygen binding (H-NOX) domain from Nostoc punctiforme
DOI: 10.13018/bmr51496
title: 1H, 13C and 15N Backbone Chemical Shift Assignments of the R502E SH3 variant of the JNK-interacting protein 1
DOI: 10.17632/3myfctrgk3
title: MLD: A Multi-Class Maize Leaf Disease Image Dataset from Bangladesh (2025)

description: The Maize Leaf Disease Dataset consists of 1,996 images of maize leaves collected from an orchard in Jhenaidah, Bangladesh (23.54498°N, 89.15321°E) between February 02–09, 2026. The images include both healthy and diseased leaves categorized into four classes: Blight (489 images), Fall Armyworm (525 images), Gray Spot (555 images), and Healthy (427 images).

Images were captured using iPhone 13 and Samsung Galaxy S21 smartphones under natural sunlight conditions, with ambient temperatures ranging from 22°C to 26°C. Original images (HEIF and JPG formats; 4032×3024 and 2543×3390 pixels) were converted to JPG where necessary and resized to 640×480 pixels (72 dpi) for practical use.

The dataset includes labeled images suitable for multi-class classification, disease detection, and semantic segmentation tasks in precision agriculture and computer vision research.
DOI: 10.13018/bmr51497
title: Nervy homology 2 domain (NHR2) from AML-ETO
DOI: 10.17632/3myfctrgk3.1
title: MLD: A Multi-Class Maize Leaf Disease Image Dataset from Bangladesh (2025)

description: The Maize Leaf Disease Dataset consists of 1,996 images of maize leaves collected from an orchard in Jhenaidah, Bangladesh (23.54498°N, 89.15321°E) between February 02–09, 2026. The images include both healthy and diseased leaves categorized into four classes: Blight (489 images), Fall Armyworm (525 images), Gray Spot (555 images), and Healthy (427 images).

Images were captured using iPhone 13 and Samsung Galaxy S21 smartphones under natural sunlight conditions, with ambient temperatures ranging from 22°C to 26°C. Original images (HEIF and JPG formats; 4032×3024 and 2543×3390 pixels) were converted to JPG where necessary and resized to 640×480 pixels (72 dpi) for practical use.

The dataset includes labeled images suitable for multi-class classification, disease detection, and semantic segmentation tasks in precision agriculture and computer vision research.
DOI: 10.13018/bmr51500
title: Miro2 N-terminal GTPase domain bound to GTP
DOI: 10.17632/vdh4gtm7y4
title: Australian of the Year Data 2003-2026

description: This dataset contains information on all Australian of the Year recipients from 2003 to 2026. It includes the nominating state or territory, award year, award type, recipient name, a brief description of their achievement, and the recipient’s origin. The dataset provides a structured overview of two decades of national honours, supporting analysis of geographic representation, contribution types, and trends in recognition across Australia’s states and territories.
DOI: 10.13018/bmr51502
title: 1H, 13C, and 15N chemical shift assignments of MqsR in complex with its canonical antitoxin MqsA (Residues 1-76)
DOI: 10.17632/vdh4gtm7y4.1
title: Australian of the Year Data 2003-2026

description: This dataset contains information on all Australian of the Year recipients from 2003 to 2026. It includes the nominating state or territory, award year, award type, recipient name, a brief description of their achievement, and the recipient’s origin. The dataset provides a structured overview of two decades of national honours, supporting analysis of geographic representation, contribution types, and trends in recognition across Australia’s states and territories.
DOI: 10.13018/bmr51503
title: 1H, 13C, and 15N chemical shift assignments of MqsR
DOI: 10.17632/fzf4xtnt48
title: Raw Experimental Data

description: This dataset contains the original raw experimental data generated in the study on the phytochemical characterization, antioxidant activity, antimicrobial properties, and toxicity assessment of Mentha pulegium L. crude extract.
DOI: 10.13018/bmr51504
title: Assignment of 1-44 residues of nucleocapsid protein of SARS-CoV-2
DOI: 10.17632/fzf4xtnt48.1
title: Raw Experimental Data

description: This dataset contains the original raw experimental data generated in the study on the phytochemical characterization, antioxidant activity, antimicrobial properties, and toxicity assessment of Mentha pulegium L. crude extract.
DOI: 10.13018/bmr51505
title: Backbone 1H, 13C and 15N Assignments of MAX(1-21)
DOI: 10.17632/r6prpb86p9
title: The Impact of Climate Change Risk on European Sovereign Credit Ratings and Long-term Borrowing Costs

description: Data of the background study. 

Title&gt; The Impact of Climate Change Risk on European Sovereign Credit Ratings and Long-term Borrowing Costs

Szilárd Erhart, András Bethlendi, Kornel Erhart,
The impact of climate risks on european sovereign credit ratings and long-term borrowing costs,
International Review of Economics & Finance,
2026,
105021,
ISSN 1059-0560,
https://doi.org/10.1016/j.iref.2026.105021.
(https://www.sciencedirect.com/science/article/pii/S1059056026001346)
Abstract: Climate change is a significant and material risk to the global economy. This paper investigates the impact of climate change on sovereign credit ratings and on long-term rates. The three pillars of the research are (1) the analysis of the scoring methodology of Credit Rating Agencies, (2) the empirical investigation how the climate change vulnerability risk and readiness channels into the ratings of Fitch, Moody’s, and S&P, and (3) into long-term sovereign borrowing costs. The climate change risk in credit ratings and borrowing costs has been estimated with the Arellano-Bond general method of moments (GMM) estimators. We find that the impact of climate change risks on sovereign credit ratings is not consistently negative and statistically significant. Carbon emissions have become reflected in ratings since the Paris Agreement in 2015. 11 The authors gratefully acknowledge the useful comments from Ian Vollbracht (JRC Ispra, S3) and Caterina Rho (JRC Ispra, B1). The finalization of the paper benefited from comments from and discussions with participants at the 7th JRC Summer School on Sustainable Finance, Italy 10-11 July 2025 and at the 7th International Conference on European Economics and Politics 12-13 June 2025, University of Milano-Bicocca, Italy. The views expressed in this document and in the background research are purely those of the author(s) and may not in any circumstances be regarded as stating an official position of the European Commission or the Joint Research Centre.
Neither the European Commission or the Joint Research Centre or any institutions the authors affiliated with, nor any person acting on behalf of the Commission and the institutions are responsible for any use that might be made of the information contained in this document. The research, data, and findings are provided 'as is' and 'as available' without warranty of any kind, either express or implied.
DOI: 10.13018/bmr51506
title: Solid-state NMR 1H-13C-15N assignment of African cichlid nackednavirus capsid protein
DOI: 10.13018/bmr51507
title: Human PPARg2 AF-1 domain
DOI: 10.17632/r6prpb86p9.1
title: The Impact of Climate Change Risk on European Sovereign Credit Ratings and Long-term Borrowing Costs

description: Data of the background study. 

Title&gt; The Impact of Climate Change Risk on European Sovereign Credit Ratings and Long-term Borrowing Costs

Szilárd Erhart, András Bethlendi, Kornel Erhart,
The impact of climate risks on european sovereign credit ratings and long-term borrowing costs,
International Review of Economics & Finance,
2026,
105021,
ISSN 1059-0560,
https://doi.org/10.1016/j.iref.2026.105021.
(https://www.sciencedirect.com/science/article/pii/S1059056026001346)
Abstract: Climate change is a significant and material risk to the global economy. This paper investigates the impact of climate change on sovereign credit ratings and on long-term rates. The three pillars of the research are (1) the analysis of the scoring methodology of Credit Rating Agencies, (2) the empirical investigation how the climate change vulnerability risk and readiness channels into the ratings of Fitch, Moody’s, and S&P, and (3) into long-term sovereign borrowing costs. The climate change risk in credit ratings and borrowing costs has been estimated with the Arellano-Bond general method of moments (GMM) estimators. We find that the impact of climate change risks on sovereign credit ratings is not consistently negative and statistically significant. Carbon emissions have become reflected in ratings since the Paris Agreement in 2015. 11 The authors gratefully acknowledge the useful comments from Ian Vollbracht (JRC Ispra, S3) and Caterina Rho (JRC Ispra, B1). The finalization of the paper benefited from comments from and discussions with participants at the 7th JRC Summer School on Sustainable Finance, Italy 10-11 July 2025 and at the 7th International Conference on European Economics and Politics 12-13 June 2025, University of Milano-Bicocca, Italy. The views expressed in this document and in the background research are purely those of the author(s) and may not in any circumstances be regarded as stating an official position of the European Commission or the Joint Research Centre.
Neither the European Commission or the Joint Research Centre or any institutions the authors affiliated with, nor any person acting on behalf of the Commission and the institutions are responsible for any use that might be made of the information contained in this document. The research, data, and findings are provided 'as is' and 'as available' without warranty of any kind, either express or implied.
DOI: 10.13018/bmr51508
title: Backbone 1H, 13C, and 15N Chemical Shift Assignments for ASCb
DOI: 10.17632/rt6d43wfjp
title: Data - Hypothesis Test/ Simulation/ VSM

description: Data used in the investigation (research paper)
DOI: 10.13018/bmr51509
title: Backbone 1H, 13C, and 15N Chemical Shift Assignments for engineered protein ASC3X
DOI: 10.17632/rt6d43wfjp.1
title: Data - Hypothesis Test/ Simulation/ VSM

description: Data used in the investigation (research paper)
DOI: 10.13018/bmr51510
title: NMR and biochemical characterization of the interaction between FGFR1 juxtamembrane domain and phospholipids
DOI: 10.13018/bmr51512
title: Backbone 1H, 13C, and 15N chemical shift assignments for the chromoshadow domain (residue 112-176) of human heterochromatin protein 1a (HP1a).
DOI: 10.17632/6nnxg7kmb9
title: Delitos contra Menores en América Latina: Estadísticas por País, Tipo de Delito y Rango de Edad (2020-2024)

description: Este dataset compila estadísticas sobre delitos cometidos contra menores de edad (0-17 años) en 19 países de América Latina, cubriendo el período 2020-2024. Los datos fueron recopilados a partir de fuentes oficiales como la Organización Panamericana de la Salud (OPS), UNICEF, la Organización Internacional del Trabajo (OIT), la Red por los Derechos de la Infancia en México (REDIM), el Sistema Nacional de Seguridad Pública de México (SNSP) e institutos nacionales de estadística.

El dataset incluye las siguientes variables:
- País y subregión geográfica
- Tipo de delito: homicidio, violencia sexual, trabajo infantil, lesiones y maltrato
- Rango de edad de la víctima: 0-5, 6-11, 12-14, 15-17 años
- Año del registro (2020-2024)
- Valor numérico y unidad de medida (casos totales, tasa por 100,000 habitantes, estimaciones)
- Sexo de la víctima (cuando disponible)
- Fuente oficial del dato
- Notas metodológicas

Hallazgos clave:
- América Latina concentra aproximadamente el 50% de los homicidios adolescentes globales (10-19 años), con tasas tres veces superiores a otras regiones.
- Entre 2015 y 2022 se registraron 53,318 homicidios de menores en la región (OPS/UNICEF).
- Venezuela, Honduras, Colombia, El Salvador y Brasil presentan las tasas más altas de homicidios en adolescentes varones.
- México registró récords históricos en violencia sexual contra menores en 2025.
- El trabajo infantil afecta a más de 10.5 millones de niños en la región, con Guatemala y Bolivia entre los países más afectados.

Nota: Algunos valores son estimaciones basadas en tendencias reportadas por organismos internacionales ante la limitada disponibilidad de datos desagregados por edad y tipo de delito en fuentes nacionales oficiales.
DOI: 10.17632/6nnxg7kmb9.1
title: Delitos contra Menores en América Latina: Estadísticas por País, Tipo de Delito y Rango de Edad (2020-2024)

description: Este dataset compila estadísticas sobre delitos cometidos contra menores de edad (0-17 años) en 19 países de América Latina, cubriendo el período 2020-2024. Los datos fueron recopilados a partir de fuentes oficiales como la Organización Panamericana de la Salud (OPS), UNICEF, la Organización Internacional del Trabajo (OIT), la Red por los Derechos de la Infancia en México (REDIM), el Sistema Nacional de Seguridad Pública de México (SNSP) e institutos nacionales de estadística.

El dataset incluye las siguientes variables:
- País y subregión geográfica
- Tipo de delito: homicidio, violencia sexual, trabajo infantil, lesiones y maltrato
- Rango de edad de la víctima: 0-5, 6-11, 12-14, 15-17 años
- Año del registro (2020-2024)
- Valor numérico y unidad de medida (casos totales, tasa por 100,000 habitantes, estimaciones)
- Sexo de la víctima (cuando disponible)
- Fuente oficial del dato
- Notas metodológicas

Hallazgos clave:
- América Latina concentra aproximadamente el 50% de los homicidios adolescentes globales (10-19 años), con tasas tres veces superiores a otras regiones.
- Entre 2015 y 2022 se registraron 53,318 homicidios de menores en la región (OPS/UNICEF).
- Venezuela, Honduras, Colombia, El Salvador y Brasil presentan las tasas más altas de homicidios en adolescentes varones.
- México registró récords históricos en violencia sexual contra menores en 2025.
- El trabajo infantil afecta a más de 10.5 millones de niños en la región, con Guatemala y Bolivia entre los países más afectados.

Nota: Algunos valores son estimaciones basadas en tendencias reportadas por organismos internacionales ante la limitada disponibilidad de datos desagregados por edad y tipo de delito en fuentes nacionales oficiales.
DOI: 10.13018/bmr51513
title: Backbone 1H, 13C and 15N chemical shift assignments, experimental 3JHN-HA scalar couplings, and 15N-relaxation rates of the C-terminal portion of human CHMP4B (residues 121-224)
DOI: 10.13018/bmr51514
title: Backbone 1H, 13C and 15N chemical shift assignments, experimental 3JHN-HA scalar couplings, and 15N-relaxation rates of the C-terminal portion of human CHMP4C (residues 121-233)