cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mt4mj23j73.6
title: Planetary Health: A Comprehensive View of Food in Brazil - PHFood Brazil

description: This dataset is a result of the "Integrating national open databases for a comprehensive view on food, environment and health in Brazil", an initiative that integrates diverse national open databases to provide insights into food production, consumption, environmental impact, and public health in Brazil from 1974 to 2022. The primary hypothesis behind the dataset is that analyzing food systems, nutrition, and agricultural practices over time will reveal patterns that can inform sustainable food policies and health interventions.
We hypothesize that by aggregating and harmonizing data from various national sources, it will be possible to identify critical relationships between food production, nutrient availability, and environmental sustainability. This integrated dataset allows us to evaluate how agricultural practices and food consumption patterns have evolved in response to changing environmental, economic, and societal conditions in Brazil.
Food Production and Nutrient Data: The dataset includes detailed information on harvested areas, food production (in tons), and nutrient availability (e.g., energy, protein, fiber, vitamins, and minerals) for various food groups across different Brazilian regions and states.
Water and Environmental Data: Water usage, deficit, and environmental impact data are linked to agricultural activities, allowing the assessment of water efficiency in food production.
Pesticides and Residue Monitoring: Information on pesticide usage, maximum residue levels (MRL), and residue percentage in food items is provided, with additional details on authorized pesticide types, toxicity classifications, and environmental risks. Food Consumption: Data on food acquisition and consumption patterns, broken down by food groups (e.g., beans, vegetables, fruits), are presented, highlighting dietary trends across various population groups.
Data Collection and Methodology: The dataset was constructed by linking several government datasets, including agricultural statistics, water use reports, and residue monitoring programs. Each dataset was meticulously harmonized to ensure compatibility and completeness, following Extract, Transform, Load (ETL) processes. The data was collected over several decades, representing longitudinal trends in food systems and health. The harmonization process ensures that all data fields are consistent and comparable across time and regions.
Interpretation and Use: This dataset can be used to explore the connections between food systems, health, and the environment. It supports studies in agrifood systems, sustainability, public health, and climate change. Researchers can investigate the impacts of food production on nutrient availability, water consumption, and pesticide use over time. It can also be used to model future food system sustainability under different climate scenarios and dietary patterns, contributing to the development of food policies that balance human and planetary health.
DOI: 10.17632/brfkr54dx9
title: Data for the paper "Forever an optimist? Investigating the temporal consistency of optimism within and across life phases in rats"

description: Data from repeated cognitive judgement bias testing in rats during two different life phases. The individuals were tested twice within early and full adulthood, respectively.
DOI: 10.17632/brfkr54dx9.1
title: Data for the paper "Forever an optimist? Investigating the temporal consistency of optimism within and across life phases in rats"

description: Data from repeated cognitive judgement bias testing in rats during two different life phases. The individuals were tested twice within early and full adulthood, respectively.
DOI: 10.17632/mt4mj23j73.2
title: Planetary Health: A Comprehensive View of Food in Brazil - PHFood Brazil

description: This dataset is a result of the "Integrating national open databases for a comprehensive view on food, environment and health in Brazil", an initiative that integrates diverse national open databases to provide insights into food production, consumption, environmental impact, and public health in Brazil from 1974 to 2022. The primary hypothesis behind the dataset is that analyzing food systems, nutrition, and agricultural practices over time will reveal patterns that can inform sustainable food policies and health interventions.
We hypothesize that by aggregating and harmonizing data from various national sources, it will be possible to identify critical relationships between food production, nutrient availability, and environmental sustainability. This integrated dataset allows us to evaluate how agricultural practices and food consumption patterns have evolved in response to changing environmental, economic, and societal conditions in Brazil.
Food Production and Nutrient Data: The dataset includes detailed information on harvested areas, food production (in tons), and nutrient availability (e.g., energy, protein, fiber, vitamins, and minerals) for various food groups across different Brazilian regions and states.
Water and Environmental Data: Water usage, deficit, and environmental impact data are linked to agricultural activities, allowing the assessment of water efficiency in food production.
Pesticides and Residue Monitoring: Information on pesticide usage, maximum residue levels (MRL), and residue percentage in food items is provided, with additional details on authorized pesticide types, toxicity classifications, and environmental risks. Food Consumption: Data on food acquisition and consumption patterns, broken down by food groups (e.g., beans, vegetables, fruits), are presented, highlighting dietary trends across various population groups.
Data Collection and Methodology: The dataset was constructed by linking several government datasets, including agricultural statistics, water use reports, and residue monitoring programs. Each dataset was meticulously harmonized to ensure compatibility and completeness, following Extract, Transform, Load (ETL) processes. The data was collected over several decades, representing longitudinal trends in food systems and health. The harmonization process ensures that all data fields are consistent and comparable across time and regions.
Interpretation and Use: This dataset can be used to explore the connections between food systems, health, and the environment. It supports studies in agrifood systems, sustainability, public health, and climate change. Researchers can investigate the impacts of food production on nutrient availability, water consumption, and pesticide use over time. It can also be used to model future food system sustainability under different climate scenarios and dietary patterns, contributing to the development of food policies that balance human and planetary health.
DOI: 10.3886/icpsr00002.v4
title: Candidate Name and Constituency Totals, 1788-1990
title: Version 4

description: This data collection provides the names of candidates, political party name and ICPSR party ID code, and the number of votes received by each candidate in the constituency for elections between 1788 and 1990. The data include county-level returns for over 90 percent of all elections to the offices of president, governor, United States representative (1824-1990), and United States senator (1912-1990). The dataset also includes returns for approximately two-thirds of all elections to the offices of president, governor, and United States representative for the period 1788-1823. Returns for one additional statewide office are included beginning with the 1968 elections. Also presented are 1990 data from the District of Columbia election for United States senator and United States representative. The offices of two senators and one representative were created by the "District of Columbia Statehood Constitutional Convention Initiative," which was approved by District voters in 1980. Elections for these offices were postponed until the 1990 general election. The three offices are currently local District positions, which will turn into federal offices if the District becomes a state.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Data File 
 DS2: SAS Data Definition Statements 
 DS10: ICPSR State and County Codes Based on 1960 FIPS Codes (Text File)
description: United States Historical Election Returns Series
description: Candidates who ran for the offices of president, governor, and United States representative (1824-1990), United States senator (1912-1990), and one additional statewide office, usually attorney general or secretary of state (1968-1990).
DOI: 10.17632/3zf2zhr2z6.1
title: Reconstruction of a Segmental Bone Defect Using Vascularized Tissue-Engineered Bone Substitutes: An Animal Study

description: Repairing large segmental bone defects remains a major challenge in orthopedics, with conventional autografting and allografting limited by donor shortages and high complication rates. Tissue-engineered bone substitutes have emerged as a potential solution. This study aimed to assess the vascular regeneration of dual-vascularized tissue-engineered bone substitutes in the reconstruction of large segmental bone defects in rabbits. Demineralized bone matrix (DBM) was used as a scaffold, with endothelial progenitor cells (EPCs) seeded onto it. A vascular channel was created within the DBM-EPCs composite scaffold, and the radial artery was implanted into this channel. New Zealand white rabbits were used to create a large radial bone defect model, with animals divided into four groups: DBM, DBM+EPCs, DBM+Vascular Bundle, and DBM+EPCs+Vascular Bundle (n=9 per group). X-ray examinations, gross morphological observations, and CD31 immunofluorescence staining were conducted at 4, 8, and 12 weeks post-surgery. Micro-CT was used to reconstruct the three-dimensional structures of the defects after 12 weeks. The DBM+EPCs+Vascular Bundle group demonstrated the most significant bone regeneration and vascularization across all time points. X-ray, gross morphology, Micro-CT analysis, HE staining, and CD31 immunofluorescence staining all revealed superior bone regeneration and vascular density in this group compared to the others. In conclusion, the dual vascularization strategy significantly enhanced bone regeneration and angiogenesis in the reconstruction of large bone defects.
DOI: 10.17632/pm3mm8hdkm.1
title: Atmospheric mercury pollution recorded in conifer tree rings: Disentangling the effects of tree-ring width, water content, and climate on mercury concentrations - data and code

description: This dataset contains the data and R code for the article “Atmospheric mercury pollution recorded in conifer tree rings: Disentangling the effects of tree-ring width, water content, and climate on mercury concentrations” (Boonen et al., 2025). 

It contains the following files: 
- Hg: mercury concentrations (ng/g) measured in European larch and Douglas fir tree rings;
- TRW: tree-ring widths (mm) of these tree rings;
- Water content: water content (%) in these tree rings;
- SWHW: indicates whether the tree ring is in the sapwood or heartwood;
- Daily precipitation: total daily precipitation (mm) at the Kočkov station in Ústí nad Labem (Czech Hydrometeorological Institute, 2022);
- Daily temperature: average daily air temperature (°C) at the Kočkov station in Ústí nad Labem (Czech Hydrometeorological Institute, 2022);
- Hg_air_Usti: contains data on Hg emissions to air from the chlor-alkali plant (kg/year) and atmospheric gaseous elemental mercury (GEM) concentrations (ng/m³). These data are obtained from the Czech Environmental Information Agency (2022), the Czech Hydrometeorological Institute (2023a,b) and Spolchemie (2023).

Further information can be found in the article.

References:
- Boonen, K., Shetti, R., Navrátil, T., Nováková, T., Rohovec, J. & Lehejček, J. (2025). Atmospheric mercury pollution recorded in conifer tree rings: Disentangling the effects of tree-ring width, water content, and climate on mercury concentrations, Dendrochronologia, 126370, ISSN 1125-7865, https://doi.org/10.1016/j.dendro.2025.126370
- Czech Environmental Information Agency. (2022). IRZ (Integrovaný registr znečišťování - Integrated Pollution Register). https://www.irz.cz
- Czech Hydrometeorological Institute. (2022). Territorial precipitation and air temperature. https://www.chmi.cz/historicka-data/pocasi/zakladni-informace
- Czech Hydrometeorological Institute. (2023a). ISKO (Informační systém kvality ovzduší - Air quality information system). https://www.chmi.cz/files/portal/docs/uoco/isko/ozko/ozko_CZ.html
- Czech Hydrometeorological Institute. (2023b). Register of Emissions and Air Pollution Sources (REZZO 1 database). https://www.chmi.cz/files/portal/docs/uoco/oez/emise_CZ.html
- Spolchemie. (2023). Zpráva o ochraně životního prostředí 2021 (Report on environmental protection 2021). https://www.spolchemie.cz/wp-content/uploads/2023/07/zprava-o-ochrane-zp_2021.pdf
DOI: 10.5281/zenodo.15530238
title: Supplementary alignments and tree files from figure 2

description: Supplementary alignments and tree files from figure 2 of Strock et al., 2025.
DOI: 10.5281/zenodo.15530239
title: Supplementary alignments and tree files from figure 2

description: Supplementary alignments and tree files from figure 2 of Strock et al., 2025.
DOI: 10.17632/jzhp9mv4ss
title: Research Data

description: Research Data
DOI: 10.17632/jzhp9mv4ss.1
title: Research Data

description: Research Data
DOI: 10.17632/mwnmsrm7f5.1
title: FinLSPM

description: The provided datasets consist of the four referenced in the study and six extended supporting datasets.
DOI: 10.17632/mt4mj23j73.1
title: Integrating national open databases for a comprehensive view on food, environment and health in Brazil

description: This dataset is a result of the PHFood Brazil Study, a comprehensive initiative that integrates diverse national open databases to provide insights into food production, consumption, environmental impact, and public health in Brazil from 1974 to 2022. The primary hypothesis behind the dataset is that analyzing food systems, nutrition, and agricultural practices over time will reveal patterns that can inform sustainable food policies and health interventions.
Research Hypothesis: We hypothesize that by aggregating and harmonizing data from various national sources, it will be possible to identify critical relationships between food production, nutrient availability, and environmental sustainability. This integrated dataset allows us to evaluate how agricultural practices and food consumption patterns have evolved in response to changing environmental, economic, and societal conditions in Brazil.
Food Production and Nutrient Data: The dataset includes detailed information on harvested areas, food production (in tons), and nutrient availability (e.g., energy, protein, fiber, vitamins, and minerals) for various food groups across different Brazilian regions and states.
Water and Environmental Data: Water usage, deficit, and environmental impact data are linked to agricultural activities, allowing the assessment of water efficiency in food production.
Pesticides and Residue Monitoring: Information on pesticide usage, maximum residue levels (MRL), and residue percentage in food items is provided, with additional details on authorized pesticide types, toxicity classifications, and environmental risks.
Food Consumption: Data on food acquisition and consumption patterns, broken down by food groups (e.g., beans, vegetables, fruits), are presented, highlighting dietary trends across various population groups.
Data Collection and Methodology: The dataset was constructed by linking several government datasets, including agricultural statistics, water use reports, and residue monitoring programs. Each dataset was meticulously harmonized to ensure compatibility and completeness, following Extract, Transform, Load (ETL) processes. The data was collected over several decades, representing longitudinal trends in food systems and health. The harmonization process ensures that all data fields are consistent and comparable across time and regions.

Interpretation and Use: This dataset can be used to explore the connections between food systems, health, and the environment. It supports studies in agrifood systems, sustainability, public health, and climate change. Researchers can investigate the impacts of food production on nutrient availability, water consumption, and pesticide use over time. It can also be used to model future food system sustainability under different climate scenarios and dietary patterns, contributing to the development of food policies that balance human and planetary health.
DOI: 10.17632/dkcysvj9fk
title: Research data

description: Research data
DOI: 10.17632/dkcysvj9fk.1
title: Research data

description: Research data
DOI: 10.17632/mt4mj23j73.3
title: Planetary Health: A Comprehensive View of Food in Brazil - PHFood Brazil

description: This dataset is a result of the "Integrating national open databases for a comprehensive view on food, environment and health in Brazil", an initiative that integrates diverse national open databases to provide insights into food production, consumption, environmental impact, and public health in Brazil from 1974 to 2022. The primary hypothesis behind the dataset is that analyzing food systems, nutrition, and agricultural practices over time will reveal patterns that can inform sustainable food policies and health interventions.
We hypothesize that by aggregating and harmonizing data from various national sources, it will be possible to identify critical relationships between food production, nutrient availability, and environmental sustainability. This integrated dataset allows us to evaluate how agricultural practices and food consumption patterns have evolved in response to changing environmental, economic, and societal conditions in Brazil.
Food Production and Nutrient Data: The dataset includes detailed information on harvested areas, food production (in tons), and nutrient availability (e.g., energy, protein, fiber, vitamins, and minerals) for various food groups across different Brazilian regions and states.
Water and Environmental Data: Water usage, deficit, and environmental impact data are linked to agricultural activities, allowing the assessment of water efficiency in food production.
Pesticides and Residue Monitoring: Information on pesticide usage, maximum residue levels (MRL), and residue percentage in food items is provided, with additional details on authorized pesticide types, toxicity classifications, and environmental risks. Food Consumption: Data on food acquisition and consumption patterns, broken down by food groups (e.g., beans, vegetables, fruits), are presented, highlighting dietary trends across various population groups.
Data Collection and Methodology: The dataset was constructed by linking several government datasets, including agricultural statistics, water use reports, and residue monitoring programs. Each dataset was meticulously harmonized to ensure compatibility and completeness, following Extract, Transform, Load (ETL) processes. The data was collected over several decades, representing longitudinal trends in food systems and health. The harmonization process ensures that all data fields are consistent and comparable across time and regions.
Interpretation and Use: This dataset can be used to explore the connections between food systems, health, and the environment. It supports studies in agrifood systems, sustainability, public health, and climate change. Researchers can investigate the impacts of food production on nutrient availability, water consumption, and pesticide use over time. It can also be used to model future food system sustainability under different climate scenarios and dietary patterns, contributing to the development of food policies that balance human and planetary health.
DOI: 10.3535/dgd-fw3-hqg
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dmm-2vp-7rf
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/23z-z3s-s17
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3f1-932-lvb
title: Chordata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5pl-vle-09e
title: Lamnidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/35g-7f0-cn0
title: Cervidae Goldfuss, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c4x-ye0-lbp
title: Dalmanites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.jhwcwh
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Serbia",
 "Geometry POLYGON((18.61958 42.21206,23.42228 42.21206,23.42228 46.01196,18.61958 46.01196,18.61958 42.21206))",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus",
 "Year 2000-2025"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020703-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vrsn57ysg4
title: Supplemental Materials to "Navigating Challenges in Public Deployments of Social Robots: Insights from a Multidisciplinary Expert Interview Study"

description: This repository, titled "Supplemental Materials to SecuRoPS Expert Interview," contains a collection of documents and files associated with the expert interview study conducted for the validation and refinement of the SecuRoPS framework. The materials include interview transcripts, guidelines, demographic information, coding structures, and risk assessment documentation that were pivotal to the research process. 

The expert interviews were conducted with 21 participants (P1 - P21), representing a diverse range of fields including software development, cybersecurity, AI, and public space management, to gather insights and feedback on the SecuRoPS framework. The repository is structured to support transparency, reproducibility, and further exploration of the interview process, offering access to detailed interview content, the framework's development methodology, and key demographic information. The files are as follows:

1. Expert Interview Transcripts (P1 - P21.docx): Detailed transcripts of the expert interviews, capturing the participants' feedback, comments, and insights.
2. Interview Guideline (SecuRoPS).pdf: The structured set of questions and thematic areas used during the interviews.
3. Participant Information Sheet.pdf: A document outlining the purpose of the study, participant roles, and ethical considerations.
4. Participant Demographic Information.pdf: A summary of the participants’ demographics, including their fields of expertise and professional background.
5. Nvivo File titled SecuRoPS Expert Interview
6. SecuRoPS_Risk_Assessment_Sheet.xlsx: A risk assessment sheet outlining the potential risks associated with the research process and how they were managed.

Altogether, this repository provides 26 supplemental files, offering a complete view of the expert interview study and the methodological rigor applied in the development and validation of the SecuRoPS framework.