cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/d66d5rbd
title: NSF/NCAR GV HIAPER CIMS HCl and HNO4 In Situ Measurements. Version 1.0

description: This data set contains NSF/NCAR GV HIAPER In Situ Measurements by the Chemical Ionization Mass Spectrometer (CIMS) of hydrogen chloride (HCI) and peroxynitric acid (HNO4) collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 14 May 2012 through 30 June 2012. This data set contains both second and 20-second data collected by the CIMS. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.15468/dl.a4vgbt
title: Occurrence Download

description: A dataset containing 10965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leucas"
 ]
}

 The dataset includes 10965 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036306-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggxq72
title: Occurrence Download

description: A dataset containing 3015 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ditrysinia"
 ]
}

 The dataset includes 3015 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036291-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.22510.88640
title: Code for Integrability No Go
DOI: 10.5065/d62n50nh
title: NEXRAD Radar with NSF/NCAR GV HIAPER, NASA DC-8, DLR Falcon Flight Track Movies. Version 1.0

description: This dataset contains movies of the NSF/NCAR GV HIAPER, NASA DC-8, and DLR Falcon flight tracks combined with the NEXRAD radar data from the Deep Convective Clouds and Chemistry Project (DC3) field campaign for flights on 18-19 May, 21 May, 25 May, 29-30 May, 1-2 June, 5-6 June, 11-12 June, 15-16 June, 21-22 June, and 27-28 June 2012 in the DC3 area of interest.
DOI: 10.5281/zenodo.17243168
title: Corpus Completo - Dissertação "Hesitação e recusa vacinal: a pandemia de covid-19 nos discursos antivacina brasileiros"
DOI: 10.5281/zenodo.17243169
title: Corpus Completo - Dissertação "Hesitação e recusa vacinal: a pandemia de covid-19 nos discursos antivacina brasileiros"
DOI: 10.6092/unibo/amsacta/8535
title: Sensory analysis of dealcoholized wines produced using vacuum distillation

description: The dataset contains the results of a study on sensory evaluation of partially and fully dealcoholized wines. Specifically, in this study, partially (PDW) and fully dealcoholized (DW) white, rosé, and red wines were produced using vacuum distillation (VD), analysing ethanol removal impacts on sensory attributes through consumer response. Sensory evaluation highlighted reductions in fresh floral (white/ rosé), fresh fruity (red), sweetness (white/ rosé), hotness, and body/fullness (rosé), while color intensity (red), cooked vegetable notes, and acidity (white/ rosé) increased after ethanol removal. PDW and DW white/red wines retained original overall acceptability scores, whereas rosé acceptability decreased.
DOI: 10.25574/27864
title: Chandra X-ray Observatory ObsId 27864

description: 2023 Observations of the Perseus Cluster
DOI: 10.13140/rg.2.2.11762.98246
title: BIG COLLAR DRESS. 3D MODEL. DESIGN PATENT RU114142. VIDEO
DOI: 10.13140/rg.2.2.25184.75527
title: DRAPED RUFFLE SKIRT. 3D MODEL. DESIGN PATENT RU130561. VIDEO
DOI: 10.25574/27865
title: Chandra X-ray Observatory ObsId 27865

description: 2023 Observations of the Perseus Cluster
DOI: 10.13140/rg.2.2.31895.64163
title: PLEATED SKIRT. 3D MODEL. DESIGN PATENT RU107503. VIDEO
DOI: 10.13140/rg.2.2.15118.42563
title: ASYMMETRIC SKIRT. 3D MODEL. DESIGN PATENT RU107502. VIDEO
DOI: 10.13140/rg.2.2.28540.19845
title: CIRCLE SKIRT. 3D MODEL. DESIGN PATENT RU114141. VIDEO
DOI: 10.13140/rg.2.2.24345.89443
title: BLUE SKIRT. 3D MODEL. DESIGN PATENT RU114280. VIDEO
DOI: 10.13140/rg.2.2.17635.00806
title: STRAIGHT TROUSERS. 3D MODEL. DESIGN PATENT RU130553. VIDEO
DOI: 10.13140/rg.2.2.31056.78088
title: PAJAMA TROUSERS. 3D MODEL. DESIGN PATENT RU131021. VIDEO
DOI: 10.5281/zenodo.7229926
title: MedAID_Key performance indicators for gilthead seabream on-growing under summer temperatures

description: This data set contains the results from a nutritional trial performed at the Centre of Marine Sciences of Algarve (CCMAR, Faro, Portugal) within the framework of WP2 of the MedAID project (Mediterranean Aquaculture Integrated Development, Horizon 2020, GA number 727315). This experiment evaluated the impacts of protein to lipid ratios in low fishmeal/fish oil diets on key performance indicators of gilthead seabream (Sparus aurata, initial weight: 100 g ± 7 g) on-grown during summer temperature conditions. For further information on experimental conditions, please refer to the publication: “Aragão C., Cabano M., Colen R., Teodósio R., Gisbert E., Dias J. and Engrola S., 2022. Modulation of dietary protein to lipid ratios for gilthead seabream on-growing during summer temperature conditions. Aquaculture Reports, 25: 101262. doi:10.1016/j.aqrep.2022.101262”. In addition to properly cite this dataset, it would be appreciated that when using this dataset in a publication the original publication is cited.
DOI: 10.13140/rg.2.2.14279.56480
title: EMBROIDERED JEANS. 3D MODEL. DESIGN PATENT RU 131946. VIDEO
DOI: 10.5281/zenodo.7229664
title: MedAID_Key performance indicators for gilthead seabream on-growing under summer temperatures

description: This data set contains the results from a nutritional trial performed at the Centre of Marine Sciences of Algarve (CCMAR, Faro, Portugal) within the framework of WP2 of the MedAID project (Mediterranean Aquaculture Integrated Development, Horizon 2020, GA number 727315). This experiment evaluated the impacts of protein to lipid ratios in low fishmeal/fish oil diets on key performance indicators of gilthead seabream (Sparus aurata, initial weight: 100 g ± 7 g) on-grown during summer temperature conditions. For further information on experimental conditions, please refer to the publication: “Aragão C., Cabano M., Colen R., Teodósio R., Gisbert E., Dias J. and Engrola S., 2022. Modulation of dietary protein to lipid ratios for gilthead seabream on-growing during summer temperature conditions. Aquaculture Reports, 25: 101262. doi:10.1016/j.aqrep.2022.101262”. In addition to properly cite this dataset, it would be appreciated that when using this dataset in a publication the original publication is cited.
DOI: 10.13140/rg.2.2.27701.33760
title: LEATHER PATCH PANTS. 3D MODEL. DESIGN PATENT RU104321. VIDEO
DOI: 10.6084/m9.figshare.29875392
title: Storage stability of cowpea mosaic virus cancer drug candidate – a two-year update

description: To evaluate the structural stability and biological activity of cowpea mosaic virus (CPMV) after 2 years of storage. CPMV was stored at room temperature (RT), 4°C, and −20°C for 2 years. Structural stability was assayed using dynamic light scattering (DLS), size exclusion chromatography (SEC), native and denaturing gel electrophoresis, and transmission electron microscopy (TEM). Biological activity was assessed by anti-tumor efficacy studies using a B16F10 dermal mouse melanoma model and by a cowpea plant infection challenge. Storage at −20°C preserved CPMV’s structural properties and biological activity. Storage at 4°C caused aggregation, S-protein cleavage, and RNA degradation – samples stored at 4°C had decreased anti-tumor efficacy yet retained plant infectivity. CPMV stored at RT was degraded and lost biological activity. Frozen storage allows CPMV to maintain structural and biological stability for at least 2 years.
DOI: 10.6084/m9.figshare.29875392.v1
title: Storage stability of cowpea mosaic virus cancer drug candidate – a two-year update

description: To evaluate the structural stability and biological activity of cowpea mosaic virus (CPMV) after 2 years of storage. CPMV was stored at room temperature (RT), 4°C, and −20°C for 2 years. Structural stability was assayed using dynamic light scattering (DLS), size exclusion chromatography (SEC), native and denaturing gel electrophoresis, and transmission electron microscopy (TEM). Biological activity was assessed by anti-tumor efficacy studies using a B16F10 dermal mouse melanoma model and by a cowpea plant infection challenge. Storage at −20°C preserved CPMV’s structural properties and biological activity. Storage at 4°C caused aggregation, S-protein cleavage, and RNA degradation – samples stored at 4°C had decreased anti-tumor efficacy yet retained plant infectivity. CPMV stored at RT was degraded and lost biological activity. Frozen storage allows CPMV to maintain structural and biological stability for at least 2 years.
DOI: 10.6084/m9.figshare.29881476
title: Rombus-shaped α-Fe₂O₃ nanoparticles for antibacterial and anticancer applications

description: The increasing incidence of bacterial infections in cancer patients, combined with the growing limitations of conventional antibiotics such as poor site-specific targeting and antibiotic resistance, necessitates the development of advanced therapeutic strategies. Rhombus-shaped α-Fe₂O₃ nanoparticles (NPs) were synthesized via hydrothermal route and characterized for their structural, optical, and morphological properties. Lymecycline was encapsulated into NPs, and its pH-dependent release was assessed. Antibacterial activity was evaluated using the well diffusion and minimum inhibitory concentration assay, while anticancer potential was examined using AlamarBlue and cytotoxicity assays against THP-1 cells. Biocompatibility was assessed using normal L-929 fibroblast cells. The synthesized Fe₂O₃ NPs measured ~80 to 150 nm in length and ~50 nm in width. Lymecycline-loaded NPs demonstrated pH-responsive release, with 60% drug release at pH 5.5 and 43% at pH 7.4. They exhibited enhanced cytotoxicity (72%) against THP-1 cancer cells, while showing good biocompatibility with L-929 normal cells. Additionally, strong antibacterial activity was observed against <i>Escherichia coli</i> and <i>Staphylococcus aureus</i>. Lymecycline-loaded α-Fe₂O₃ NPs exhibited pH-responsive drug release, selective cytotoxicity toward THP-1 cancer cells, strong antibacterial efficacy, and good biocompatibility with normal cells. These findings highlight their dual functionality and potential as a promising nanoplatform for future anticancer and antimicrobial therapies.
DOI: 10.6084/m9.figshare.29881476.v1
title: Rombus-shaped α-Fe₂O₃ nanoparticles for antibacterial and anticancer applications

description: The increasing incidence of bacterial infections in cancer patients, combined with the growing limitations of conventional antibiotics such as poor site-specific targeting and antibiotic resistance, necessitates the development of advanced therapeutic strategies. Rhombus-shaped α-Fe₂O₃ nanoparticles (NPs) were synthesized via hydrothermal route and characterized for their structural, optical, and morphological properties. Lymecycline was encapsulated into NPs, and its pH-dependent release was assessed. Antibacterial activity was evaluated using the well diffusion and minimum inhibitory concentration assay, while anticancer potential was examined using AlamarBlue and cytotoxicity assays against THP-1 cells. Biocompatibility was assessed using normal L-929 fibroblast cells. The synthesized Fe₂O₃ NPs measured ~80 to 150 nm in length and ~50 nm in width. Lymecycline-loaded NPs demonstrated pH-responsive release, with 60% drug release at pH 5.5 and 43% at pH 7.4. They exhibited enhanced cytotoxicity (72%) against THP-1 cancer cells, while showing good biocompatibility with L-929 normal cells. Additionally, strong antibacterial activity was observed against <i>Escherichia coli</i> and <i>Staphylococcus aureus</i>. Lymecycline-loaded α-Fe₂O₃ NPs exhibited pH-responsive drug release, selective cytotoxicity toward THP-1 cancer cells, strong antibacterial efficacy, and good biocompatibility with normal cells. These findings highlight their dual functionality and potential as a promising nanoplatform for future anticancer and antimicrobial therapies.
DOI: 10.13140/rg.2.2.10504.69128
title: [MATLAB Code] Methodology of Adaptive Levels of Interval
DOI: 10.13140/rg.2.2.13860.13446
title: [MATLAB Code] ALI: The Adaptive Levels of Interval Method
DOI: 10.6084/m9.figshare.30257138
title: Evaluation of phytochemical profiling, antioxidant and antimicrobial activities of <i>Cionura erecta</i> latex: the first report of the therapeutic potential of a natural exudate

description: This study provides the first detailed evaluation of <i>C. erecta</i> latex, an uncharacterised exudate of the <i>Apocynaceae</i> family, focusing on its phytochemical composition and bioactivity. HPLC analysis revealed nine phenolic compounds, mainly sinapic acid (4876.2 µg/g), ferulic acid (902.6 µg/g), and epicatechin (386.5 µg/g). Although the total phenolic content was relatively low (2.27 ± 4.2 mg GAE/g), DPPH assay indicated moderate antioxidant activity (IC<sub>50</sub> = 114 µg/mL), suggesting contributions from other bioactive constituents. Volatile profiling <i>via</i> HS-SPME-GC-MS and solvent-assisted GC–MS identified compounds such as p-cymene (14.05%), 2-hexanol (12.52%), and kaur-16-ene (72.06%). The latex exhibited antimicrobial activity against bacteria and yeasts, with MIC values ranging from 62.5 to 250 µg/mL, showing higher effectiveness against <i>Acinetobacter baumannii</i>, <i>Candida parapsilosis</i>, and <i>Candida glabrata</i>. Overall, the findings highlight <i>C. erecta latex</i> as a phenol- and terpenoid-rich natural product with promising antioxidant and antimicrobial potential, supporting its traditional dermatological use and future pharmaceutical relevance.
DOI: 10.6084/m9.figshare.30257138.v1
title: Evaluation of phytochemical profiling, antioxidant and antimicrobial activities of <i>Cionura erecta</i> latex: the first report of the therapeutic potential of a natural exudate

description: This study provides the first detailed evaluation of <i>C. erecta</i> latex, an uncharacterised exudate of the <i>Apocynaceae</i> family, focusing on its phytochemical composition and bioactivity. HPLC analysis revealed nine phenolic compounds, mainly sinapic acid (4876.2 µg/g), ferulic acid (902.6 µg/g), and epicatechin (386.5 µg/g). Although the total phenolic content was relatively low (2.27 ± 4.2 mg GAE/g), DPPH assay indicated moderate antioxidant activity (IC<sub>50</sub> = 114 µg/mL), suggesting contributions from other bioactive constituents. Volatile profiling <i>via</i> HS-SPME-GC-MS and solvent-assisted GC–MS identified compounds such as p-cymene (14.05%), 2-hexanol (12.52%), and kaur-16-ene (72.06%). The latex exhibited antimicrobial activity against bacteria and yeasts, with MIC values ranging from 62.5 to 250 µg/mL, showing higher effectiveness against <i>Acinetobacter baumannii</i>, <i>Candida parapsilosis</i>, and <i>Candida glabrata</i>. Overall, the findings highlight <i>C. erecta latex</i> as a phenol- and terpenoid-rich natural product with promising antioxidant and antimicrobial potential, supporting its traditional dermatological use and future pharmaceutical relevance.
DOI: 10.6084/m9.figshare.30257141
title: A Regression Framework for Studying Relationships among Attributes under Network Interference

description: To understand how the interconnected and interdependent world of the twenty-first century operates and make model-based predictions, joint probability models for networks and interdependent outcomes are needed. We propose a comprehensive regression framework for networks and interdependent outcomes with multiple advantages, including interpretability, scalability, and provable theoretical guarantees. The regression framework can be used for studying relationships among attributes of connected units and captures complex dependencies among connections and attributes, while retaining the virtues of linear regression, logistic regression, and other regression models by being interpretable and widely applicable. On the computational side, we show that the regression framework is amenable to scalable statistical computing based on convex optimization of pseudo-likelihoods using minorization-maximization methods. On the theoretical side, we establish convergence rates for pseudo-likelihood estimators based on a single observation of dependent connections and attributes. We demonstrate the regression framework using simulations and an application to hate speech on the social media platform X.
DOI: 10.6084/m9.figshare.30257141.v1
title: A Regression Framework for Studying Relationships among Attributes under Network Interference

description: To understand how the interconnected and interdependent world of the twenty-first century operates and make model-based predictions, joint probability models for networks and interdependent outcomes are needed. We propose a comprehensive regression framework for networks and interdependent outcomes with multiple advantages, including interpretability, scalability, and provable theoretical guarantees. The regression framework can be used for studying relationships among attributes of connected units and captures complex dependencies among connections and attributes, while retaining the virtues of linear regression, logistic regression, and other regression models by being interpretable and widely applicable. On the computational side, we show that the regression framework is amenable to scalable statistical computing based on convex optimization of pseudo-likelihoods using minorization-maximization methods. On the theoretical side, we establish convergence rates for pseudo-likelihood estimators based on a single observation of dependent connections and attributes. We demonstrate the regression framework using simulations and an application to hate speech on the social media platform X.
DOI: 10.5065/d6z036hz
title: NSF/NCAR GV HIAPER VCSEL Hygrometer Data. Version 1.0

description: This data set contains NSF/NCAR GV HIAPER VCSEL Hygrometer Data collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 18 May 2012 through 30 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.15468/dl.pxrn8b
title: Occurrence Download

description: A dataset listing the 317 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Montenegro",
 "DatasetKey is EOD – eBird Observation Dataset",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 317 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036299-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmyv9b
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnoscelus surinamensis",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036308-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gr4dw9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnoscelus surinamensis",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036310-250920141307145/datasets/export for details.
DOI: 10.15468/dl.xr46fn
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycnoscelus surinamensis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036309-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.10714.40649
title: Estimation of coda wave attenuation for NW Himalayan region using local earthquakes Luminescence phenomena: an introduction Radon recording of Uttarkashi earthquake Radon anomalies in soil-gas and groundwater as earthquake precursor phenomena Earthquake prediction studies using radon as a precursor in NW Himalayas, India: a case study Study of optical band gap and carbonaceous clusters in swift heavy ion irradiated polymers with UV-Vis spectroscopy
DOI: 10.5065/d6t72ftp
title: Georgia Tech Chemical Ionization Mass Spectrometer (GTCIMS) PAN and PPN In Situ Measurements. Version 1.0

description: This data set contains NASA DC-8 In Situ Measurements by the Georgia Tech Chemical Ionization Mass Spectrometer (CIMS) of peroxyacetyl nitrate (PAN) and peroxyl propionyl nitrate (PPN) collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 18 May 2012 through 22 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.13140/rg.2.2.16586.43201
title: Joaquim Roca Nucleosome DNA Topology Paradox
DOI: 10.13140/rg.2.2.36719.09128
title: @📧Zuckerberg Zuckerberg NeuroLinguisticProgramming-NLP IMG 7066
DOI: 10.13140/rg.2.2.30322.77769
title: Joaquim Roca Nucleosome DNA Topology Memory
DOI: 10.5065/d6pg1q3c
title: Georgia Tech Chemical Ionization Mass Spectrometer (GTCIMS) Trace Gases In Situ Measurements. Version 1.0

description: This data set contains NASA DC-8 In Situ Measurements by the Georgia Tech Chemical Ionization Mass Spectrometer (CIMS) of sulfur dioxide (SO2), hydrogen chloride (HCl), and peroxynitric acid (HNO4) collected during the Deep Convective Clouds and Chemistry Experiment (DC3) from 18 May 2012 through 22 June 2012. This data set is in ICARTT format. Please see the header portion of the data files for details on instruments, parameters, quality assurance, quality control, contact information, and data set comments.
DOI: 10.6084/m9.figshare.25393741
title: Seed dispersal as a backup system to resprouting and seeding during post-fire regeneration

description: Data and R code supporting the results in "Costa J.M. et al. Seed dispersal as a backup system to resprouting and seeding during post-fire regeneration, Annals of Botany".We provide the R code ("Script.rmd") and four data files that are needed to perform the analyses.For more details, please see the file "README.docx".<br>
DOI: 10.6084/m9.figshare.25393741.v1
title: Seed dispersal as a backup system to resprouting and seeding during post-fire regeneration

description: Data and R code supporting the results in "Costa J.M. et al. Seed dispersal as a backup system to resprouting and seeding during post-fire regeneration, Annals of Botany".We provide the R code ("Script.rmd") and four data files that are needed to perform the analyses.For more details, please see the file "README.docx".<br>