cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mn4x5gjph4.1
title: Boosting rapeseed (Brassica napus L. var. oleifera) yield, nutritional profile and functional aspects: the role of variety, climate, and fertilization strategy

description: Rapeseed (Brassica napus L. var. oleifera) is a globally significant vegetable oilseed crop valued for its versatility and economic impact, with seeds being sources of oil and protein for both food and industrial applications. This study investigates the influence of rapeseed variety, environmental and fertilization conditions on the agronomic parameters, fatty acid composition, and polyphenols content of rapeseed.
We identified “Year” as a significant factor affecting grain yield, with variations attributed to sowing dates, rainfall patterns, and temperature trends. In 2020/21, earlier sowing and favorable weather conditions resulted in a grain yield of 2.16 Mg ha-1, while we had a 79% decline in 2022/23 under unfavorable climate. Higher nitrogen rates (140 and 190 kg N ha-1) increased the dry biomass at flowering and the grain yield at harvest, with intermediate rates (110 kg N ha-1) achieving comparable results to higher rates by optimizing timing, particularly in pre-sowing and early spring. Nitrogen fertilization also significantly impacted fatty acids composition and polyphenols accumulation, with higher nitrogen rates related with increased levels of specific fatty acids. Phenolic compounds analysis revealed significant fluctuations depending on the year, with anthocyanins, flavanols, and flavonols being the most susceptible. In 2020/21, the anthocyanins were the most abundant, while in 2022/23, the α-linolenic acid (10.9%) and eicosenoic acid (1.17%) displayed the highest content.
Our findings emphasize the importance of strategic planning, environmental monitoring, and targeted nitrogen fertilization in optimizing rapeseed yield and quality under a changing climate. This comprehensive analysis provides valuable insights for sustainable rapeseed cultivation, promoting yield stability and enhancing the nutritional and functional properties of rapeseed products.
DOI: 10.17632/239b32kg6t.1
title: Gene expression for PBS,HBV-only and HBV+PS mice

description: A mouse model of chronic hepatitis B-related liver fibrosis (CHB-LF) established by repeated injecting porcine serum (PS) to BALB/c mice pretreated with pAAV-HBV1.2 plasmids.To further describe the transcriptional characterize of the HBV mouse model(HBV+PS),we performd RNA-seq sequencing together with PBS(normal conrol) mice and HBV (only recieving pAAV-HBV1.2 plasmids) mice
DOI: 10.5281/zenodo.10575636
title: Dataset - DeepWealth: A Generalizable Open-Source Deep Learning Framework using Satellite Images for Well-Being Estimation

description: This dataset encapsulates the Checkpoints obtained during the training process of the Deep Learning model, which can be used for new estimations.

The aim of the DeepWealth package is to provide a generalizable Deep Learning framework for the use of remote sensing in poverty estimation. The combination of Deep Learning and Earth Observation data is increasingly being used to estimate socioeconomic conditions at regional and global scales. The proposed framework aligns with the Sustainable Development Goal SDG1 of ending poverty. The framework provides open-source data, code, and training models (checkpoints) for reproducibility and replicability.



The source code can be found in https://github.com/PARSECworld/DeepWealth

The metadata from source code can be found in https://github.com/PARSECworld/DeepWealth/blob/main/metadata.pdf

The paper describing the development of this framework can be found at: Ben Abbes, A., Machicao, J., Corrêa, P. L. P., Specht, A., Devillers, R., Ometto, J. P., Kondo, Y., & Mouillot, D. (2024). DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation. SoftwareX, 27, 101785.  https://doi.org/10.1016/j.softx.2024.101785
DOI: 10.5281/zenodo.10575637
title: Dataset - DeepWealth: A Generalizable Open-Source Deep Learning Framework using Satellite Images for Well-Being Estimation

description: This dataset encapsulates the Checkpoints obtained during the training process of the Deep Learning model, which can be used for new estimations.

The aim of the DeepWealth package is to provide a generalizable Deep Learning framework for the use of remote sensing in poverty estimation. The combination of Deep Learning and Earth Observation data is increasingly being used to estimate socioeconomic conditions at regional and global scales. The proposed framework aligns with the Sustainable Development Goal SDG1 of ending poverty. The framework provides open-source data, code, and training models (checkpoints) for reproducibility and replicability.



The source code can be found in https://github.com/PARSECworld/DeepWealth

The metadata from source code can be found in https://github.com/PARSECworld/DeepWealth/blob/main/metadata.pdf

The paper describing the development of this framework can be found at: Ben Abbes, A., Machicao, J., Corrêa, P. L. P., Specht, A., Devillers, R., Ometto, J. P., Kondo, Y., & Mouillot, D. (2024). DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation. SoftwareX, 27, 101785.  https://doi.org/10.1016/j.softx.2024.101785
DOI: 10.17632/xh5xg4gkpk.1
title: Derm AI

description: Supplementary tables for dermatology journals' statements on AI for authors and reviewers.
DOI: 10.15468/dl.zsz9b8
title: Occurrence Download

description: A dataset containing 2315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Colombia, Ecuador, Peru, Venezuela (Bolivarian Republic of), Bolivia (Plurinational State of), Paraguay)",
 "DatasetKey is one of (Herbario Nacional Colombiano (COL), Tropicos Specimens Non-MO, Tropicos MO Specimen Data, The New York Botanical Garden Herbarium (NY), Primer censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), Segundo censo de plantas leñosas de una Parcela Permanente de 25 hectáreas, ubicada en la Reserva Natural La Planada (Nariño, Colombia), RB - Rio de Janeiro Botanical Garden Herbarium Collection, NMNH Extant Specimen Records (USNM, US), NY herbarium - The New York Botanical Garden - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA, Field Museum of Natural History (Botany) Seed Plant Collection)",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caryocaraceae"
 ]
}

 The dataset includes 2315 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024796-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.deswsz
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucalyptus erythronema Turcz."
 ]
}

 The dataset includes 276 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024797-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8412119
title: Terrestrial laser scanning data of urban trees in Milton Keynes, UK: individual trees and Treegraph outputs

description: This dataset was used for the analysis of the following publication:

Yang, W., Wilkes, P., Vicari, M.B., Hand, K., Calders, K. and Disney, M., 2024. Treegraph: tree architecture from terrestrial laser scanning point clouds. Remote Sensing in Ecology and Conservation.

Any use of this dataset should cite the paper above (Creative Commons Attribution NonCommercial License).

 

================================================                    Dataset================================================

TLS_point_clouds:

- Data collection: Terrestrial laser scanning data acquired in leaf-off condition in April 2021.

- Scanning instrument: We used a RIEGL VZ-400 with a wavelength of 1550 nm, 0.35 mrad beam divergence and 0.04˚ angular resolution.

- Locations: The data were collected from three sites in Milton Keynes, UK: Avebury Blvd (Ave), Dansteed Way (Dan), and Overgate (Ove).

- File information: Each file is an individual leaf-off tree point cloud in Polygon File Format (.ply), which can be viewed in software such as CloudCompare.

 

Treegraph_outputs:

- Description: Model outputs from Treegraph for individual trees.

- File naming convention: [TreeID]-[downsample_voxel_length]-[tip_diameter_if_known].*



*.centres.ply: Skeleton nodes of individual trees.

*.mesh.ply: Cylinder model of individual trees.

*.json: Geometrical and topological attributes at varying scales, from internode and branch to the whole tree.

*.txt: Summary of input parameters, logs of intermediate steps, and a statistical overview of whole-tree structural attributes.
DOI: 10.5281/zenodo.8412120
title: Terrestrial laser scanning data of urban trees in Milton Keynes, UK: individual trees and Treegraph outputs

description: This dataset was used for the analysis of the following publication:

Yang, W., Wilkes, P., Vicari, M.B., Hand, K., Calders, K. and Disney, M., 2024. Treegraph: tree architecture from terrestrial laser scanning point clouds. Remote Sensing in Ecology and Conservation.

Any use of this dataset should cite the paper above (Creative Commons Attribution NonCommercial License).

 

================================================                    Dataset================================================

TLS_point_clouds:

- Data collection: Terrestrial laser scanning data acquired in leaf-off condition in April 2021.

- Scanning instrument: We used a RIEGL VZ-400 with a wavelength of 1550 nm, 0.35 mrad beam divergence and 0.04˚ angular resolution.

- Locations: The data were collected from three sites in Milton Keynes, UK: Avebury Blvd (Ave), Dansteed Way (Dan), and Overgate (Ove).

- File information: Each file is an individual leaf-off tree point cloud in Polygon File Format (.ply), which can be viewed in software such as CloudCompare.

 

Treegraph_outputs:

- Description: Model outputs from Treegraph for individual trees.

- File naming convention: [TreeID]-[downsample_voxel_length]-[tip_diameter_if_known].*



*.centres.ply: Skeleton nodes of individual trees.

*.mesh.ply: Cylinder model of individual trees.

*.json: Geometrical and topological attributes at varying scales, from internode and branch to the whole tree.

*.txt: Summary of input parameters, logs of intermediate steps, and a statistical overview of whole-tree structural attributes.
DOI: 10.15468/dl.yaw7b8
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elymus atratus (Nevski) Hand.-Mazz."
 ]
}

 The dataset includes 82 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024798-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bn8pbg
title: Occurrence Download

description: A dataset containing 1071894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Africa",
 "Country is Madagascar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1071894 records from 516 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024775-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12672153
title: The Late Francoism Dataset
title: Base de datos del tardofranquismo

description: The Late Francoism Dataset (base de datos del tardofranquismo) covers 614 profiles of those occupying the top positions in economic, political, and cultural Francoist institutions. It provides a basis for assessing whether these individuals remained in positions of power after the Spanish transition. For each profile, the dataset captures a series of socio-demographic characteristics and information regarding professional and intellectual careers. In terms of careers, the dataset includes more than 5400 jobs aof 614 individuals over more than 50 years (totaling more than 18,000 observations of individual importance per year). The dataset allows the comparison of elites' positions over time, both during the dictatorship and the democratic period. The data also helps researchers to establish the extent to which different elites remained in power and the characteristics that determined their survival after democratization.
DOI: 10.6084/m9.figshare.24638695
title: Palynology of the uppermost Cretaceous to lowermost Paleocene Deccan volcanic associated sediments of the Mandla Lobe, central India

description: A palynological study of the uppermost Cretaceous–lowermost Paleocene sequences of the Deccan volcanic province in the Mandla Lobe of central India was carried out to understand floral diversity, palaeoecology and palaeoclimate during Deccan volcanic activity (67.4–62.5 Ma). The study involved 17 intertrappean sedimentary beds at 13 stratigraphical levels. The analysis shows the presence of a rich and diverse palynoflora represented by 47 genera and 61 species of pteridophytes, gymnosperms, algae and fungi. Among these, we recognised three new genera and 10 new species. At the lower stratigraphical levels (582–602 m above sea level), Late Cretaceous (Maastrichtian) age marker palynomorphs, namely <i>Azolla cretacea</i>, <i>Farabeipollis minutus</i>, <i>Jiangsupollis striatus</i> and <i>J. intertrappea</i> sp. nov., and the dominance of <i>Gabonisporis vigourouxii</i> and <i>Aquilapollenites bengalensis</i> were recorded. At the higher stratigraphical levels (698–858 m above sea level), Early Paleocene (Danian) age marker palynomorphs, such as <i>Haloragacidites amolosus</i>, <i>Longapertites vaneendenburgii</i>, <i>Mulleripollis bolpurensis</i>, <i>Palmaepollenites nadhamunii</i> and <i>P. eocenicus</i>, were recorded. The palynoassemblages and associated clay minerals indicate the deposition of intertrappean beds in a fluctuating climate, ranging from humid and semiarid to arid, and the prevalence of estuarine to freshwater depositional environments at the time of deposition. The palynofloral assemblages suggest the prevalence of a warm, humid tropical climate with high precipitation during the deposition of the intertrappean beds.
DOI: 10.6084/m9.figshare.24638695.v2
title: Palynology of the uppermost Cretaceous to lowermost Paleocene Deccan volcanic associated sediments of the Mandla Lobe, central India

description: A palynological study of the uppermost Cretaceous–lowermost Paleocene sequences of the Deccan volcanic province in the Mandla Lobe of central India was carried out to understand floral diversity, palaeoecology and palaeoclimate during Deccan volcanic activity (67.4–62.5 Ma). The study involved 17 intertrappean sedimentary beds at 13 stratigraphical levels. The analysis shows the presence of a rich and diverse palynoflora represented by 47 genera and 61 species of pteridophytes, gymnosperms, algae and fungi. Among these, we recognised three new genera and 10 new species. At the lower stratigraphical levels (582–602 m above sea level), Late Cretaceous (Maastrichtian) age marker palynomorphs, namely <i>Azolla cretacea</i>, <i>Farabeipollis minutus</i>, <i>Jiangsupollis striatus</i> and <i>J. intertrappea</i> sp. nov., and the dominance of <i>Gabonisporis vigourouxii</i> and <i>Aquilapollenites bengalensis</i> were recorded. At the higher stratigraphical levels (698–858 m above sea level), Early Paleocene (Danian) age marker palynomorphs, such as <i>Haloragacidites amolosus</i>, <i>Longapertites vaneendenburgii</i>, <i>Mulleripollis bolpurensis</i>, <i>Palmaepollenites nadhamunii</i> and <i>P. eocenicus</i>, were recorded. The palynoassemblages and associated clay minerals indicate the deposition of intertrappean beds in a fluctuating climate, ranging from humid and semiarid to arid, and the prevalence of estuarine to freshwater depositional environments at the time of deposition. The palynofloral assemblages suggest the prevalence of a warm, humid tropical climate with high precipitation during the deposition of the intertrappean beds.
DOI: 10.6084/m9.figshare.24843522
title: Çanakkale bee pollen: diversity, chemical composition, antioxidant and antibacterial properties

description: Çanakkale, Turkey, which straddles the continents of Europe and Asia, is a settlement centre with natural beauty divided by the Dardanelles Strait. This study determined the diversity, chemical composition, total antioxidant activity and antibacterial activity of fresh bee pollen obtained from 11 stations in Çanakkale in April–May 2017. The Louveaux (1978) method was modified and used to determine the botanical origin of pollen samples. It was determined that the most prevalent families in the pollen samples were Brassicaceae (23.1%), Cistaceae (22.5%), Rosaceae (11.06%), Papaveraceae (5.36%), Oleaceae (7.52%) and Fabaceae (7.31%). A maximum of 47 and a minimum of 31 components were detected in the chemical composition of bee pollen extracts (BPE) by Gas Chromatography Mass Spectrometry (GC-MS), and it was determined that the main components varied depending on the location. Regarding the total antioxidant capacity of BPE, 2,2-Diphenyl-1-picrylhydrazyl (DPPH) reduction was 100% for all locations except Yenice. Also, the antibacterial activity of BPE against <i>Escherichia coli</i> ATCC 25922, <i>Pseudomonas aeruginosa</i> ATCC 27853, and <i>Staphylococcus aureus</i> ATCC 29213 could not be determined. These findings showed high bee pollen diversity, chemical composition, and antioxidant capacity in the Çanakkale region. The bee pollen from this area is a natural product that can be used as a food supplement.
DOI: 10.6084/m9.figshare.24843522.v1
title: Çanakkale Bee Pollen: Diversity, Chemical Composition, Antioxidant and Antibacterial Properties

description: Çanakkale, Türkiye, which has landed in the continents of Europe and Asia, is a settlement center with natural beauties divided by the Dardanelles Strait. This study determined the diversity, chemical composition, total antioxidant activity and antibacterial activity of fresh bee pollen obtained from 11 stations in Çanakkale in April-May 2017. The Louveaux (1978) method was modified and used to determine the botanical origin of pollen samples. It was determined that the most preferred families in pollen samples were, respectively, Brassicaceae (23.1%), Cistaceae (22.5%), Rosaceae (11.06%), Papaveraceae (5.36%), Oleaceae (7.52%) and Fabaceae (7.31%). A maximum of 47 and a minimum of 31 components were detected in the chemical composition of bee pollen extracts (BPE) by GC-MS, and it was determined that the main components varied depending on the location. Regarding the total antioxidant capacity of BPE, DPPH reduction was 100% for all locations except Yenice. Also, the antibacterial activity of BPE against <i>Escherichia coli</i> ATCC 25922, <i>Pseudomonas aeruginosa</i> ATCC 27853, and <i>Staphylococcus aureus</i> ATCC 29213 could not be determined. These findings showed high bee pollen diversity, chemical composition, and antioxidant capacity in the Çanakkale region. As a result, it is a natural product that can be used as a food supplement.
DOI: 10.6084/m9.figshare.24843522.v2
title: Çanakkale bee pollen: diversity, chemical composition, antioxidant and antibacterial properties

description: Çanakkale, Turkey, which straddles the continents of Europe and Asia, is a settlement centre with natural beauty divided by the Dardanelles Strait. This study determined the diversity, chemical composition, total antioxidant activity and antibacterial activity of fresh bee pollen obtained from 11 stations in Çanakkale in April–May 2017. The Louveaux (1978) method was modified and used to determine the botanical origin of pollen samples. It was determined that the most prevalent families in the pollen samples were Brassicaceae (23.1%), Cistaceae (22.5%), Rosaceae (11.06%), Papaveraceae (5.36%), Oleaceae (7.52%) and Fabaceae (7.31%). A maximum of 47 and a minimum of 31 components were detected in the chemical composition of bee pollen extracts (BPE) by Gas Chromatography Mass Spectrometry (GC-MS), and it was determined that the main components varied depending on the location. Regarding the total antioxidant capacity of BPE, 2,2-Diphenyl-1-picrylhydrazyl (DPPH) reduction was 100% for all locations except Yenice. Also, the antibacterial activity of BPE against <i>Escherichia coli</i> ATCC 25922, <i>Pseudomonas aeruginosa</i> ATCC 27853, and <i>Staphylococcus aureus</i> ATCC 29213 could not be determined. These findings showed high bee pollen diversity, chemical composition, and antioxidant capacity in the Çanakkale region. The bee pollen from this area is a natural product that can be used as a food supplement.
DOI: 10.6084/m9.figshare.26235215.v1
title: A constrained optimum adaptive design for dose finding in early phase clinical trials

description: Recently, interest has grown in the development of dose-finding methods that consider both toxicity and efficacy as endpoints. Along with responses on these, the incorporation of pharmacokinetic (PK) data can be beneficial in terms of patients’ safety and can also increase the efficiency of the design for finding the best dose for the next phase. In this paper, the maximum concentration (Cmax) is used as the PK measure guiding the dose selection. The ethically attractive approach, which is based on the probability of efficacy, is used as a dose optimisation criterion. At each stage of an adaptive trial, that dose is selected for which the criterion is maximised, subject to the constraints imposed on the Cmax and the probability of toxicity. The inter-patient variability of the PK model parameters is considered, and population D-optimal sampling time points for measuring the concentration of a drug in the blood are calculated. The method is illustrated with a one-compartment PK model with first-order absorption, with the parameters being assumed to be random. The Cox model for bivariate binary responses is employed to model the dose–response outcomes. The results of a simulation study for several plausible dose–response scenarios show a significant gain in the efficiency of the design, as well as a reduction in the proportion of toxic responses.