cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/28370015
title: Data and Supplemental Figures from: Effect of pH adjustments on a novel micellar casein-based edible 3D printing formulation

description: Three-dimensional (3D) food printing holds the potential to help reduce food waste by precise portion control and use of materials that are produced in excess or are otherwise discarded. This relatively new technology is likely to undergo decreases in equipment costs. To take advantage of such prospects, we developed a novel micellar casein–based edible 3D printing formulation. Our formulation relies on a highly concentrated micellar casein solution (27.75%, wt/wt, final) along with pH adjustments (3.5, 4.0, 4.8, 6.7, 7.2, and 8.2) at chilled temperature (4-9°C) to avoid premature aggregation. In comparison to the natural pH of 6.7, both alkalinization and acidification past the isoelectric point of 4.6 enhanced both elastic and viscous moduli that enable for shape retention during and after extrusion from a 3D food printer. However, alkalinization led to smaller increases in the viscous modulus and did not lead to the shape retention that acidification to 4.0 or 3.5 does. Both acidification and alkalinization also resulted in rougher surface textures compared with the formulation at pH 6.7. Whereas the pH 4.8 formulation had inferior shape retention qualities compared with those at the other pH values tested, it had optimized water resilience, defined here as minimized swelling and dissolution of dried structures placed in water. Overall, we present a novel casein-based 3D printing formulation that could be printed while chilled, and with properties that could be modified by pH adjustments.
DOI: 10.17632/b7zhx6kfb3.3
title: Artemisia capillaris Thunb Aqueous Extract regulates the structure of intestinal microbiota and improves the efficiency of bile acid cycling to improve MASLD in mice

description: With the global epidemic of metabolic diseases, Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most common chronic liver disease. This study assessed the therapeutic potential of Artemisia capillaris extract (ACTE) in an MASLD mouse model induced by a high-fat diet (HFD).
The study comprehensively elucidated the mechanisms underlying ACTE’s effects via phenotypic observations, biochemical assays, 16S rRNA sequencing, bile acid-targeted metabolomics, and molecular biology approaches. The results showed that ACTE could improve the obesity signs and hepatic lipid accumulation in MASLD mice, regulate the structure of intestinal microbiota, activate hepatic FXR/SHP signaling and ileal FXR/FGF15 signaling, improve the efficiency of enterohepatic recycling of bile acids, and enhance the integrity of intestinal barriers, and alleviate inflammation and hepatic pyroptosis by inhibiting NF-κB and NLRP3 signaling pathways. In addition, the active ingredients in ACTE were validated by molecular docking assays for their regulatory effects on key metabolic pathways. These findings provide a potential intervention strategy for ACTE to counteract MASLD through the interaction between gut microbiota and the liver.
DOI: 10.17632/s9npc8vx35.1
title: Prognostic Indicators and Survival Rates in Vulvar Cancer: Insights from a Retrospective Study

description: Vulvar cancer is a rare form of gynecologic malignancy, accounting for approximately 4% of all gynecologic cancers. Nevertheless, the available data on vulvar cancer are constrained due to its low incidence rate. Nonetheless, numerous studies have examined the association between clinical and pathological characteristics, treatment modalities, and survival outcomes. In this study aimed to investigate the ascertain prognostic indicators together with significance of p16, p53, and PD-L1 expression as biomarkers in predicting progression-free (PFS) and overall survival (OS) in vulvar cancers.
DOI: 10.17632/s9npc8vx35.2
title: Prognostic Indicators and Survival Rates in Vulvar Cancer: Insights from a Retrospective Study

description: Vulvar cancer is a rare form of gynecologic malignancy, accounting for approximately 4% of all gynecologic cancers. Nevertheless, the available data on vulvar cancer are constrained due to its low incidence rate. Nonetheless, numerous studies have examined the association between clinical and pathological characteristics, treatment modalities, and survival outcomes. In this study aimed to investigate the ascertain prognostic indicators together with significance of p16, p53, and PD-L1 expression as biomarkers in predicting progression-free (PFS) and overall survival (OS) in vulvar cancers.
DOI: 10.15468/dl.kyhsra
title: Occurrence Download

description: A dataset containing 37551 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Commelina communis L."
 ]
}

 The dataset includes 37551 records from 510 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004220-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gc3t3
title: Occurrence Download

description: A dataset containing 5701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corylus heterophylla)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5701 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053384-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dr7fj
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum decipiens",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053386-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sxkvc
title: Occurrence Download

description: A dataset containing 1704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Zoologische Staatssammlung Muenchen - International Barcode of Life (iBOL) - Barcode of Life Project Specimen Data",
 "TaxonKey is Diptera"
 ]
}

 The dataset includes 1704 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053385-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjbxx8
title: Occurrence Download

description: A dataset containing 6519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natator depressus"
 ]
}

 The dataset includes 6519 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053387-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/99rj-vk8m-ym0q
title: DC3: GOES-West Imager Water Vapor CH3 Data. Version 1.0

description: This dataset contains GOES-15 Imager CH3 Water Vapor Satellite data (AREA format). The data are provided as TAR/GNU zip files. Each tar file contains all routine GOES sectors scanned for that date. These sectors are the original GOES sectors, including CONUS, Northern Hemisphere, Southern Hemisphere, Full Disk and Rapid Scan (as available). The suggested software for manipulating and displaying these data is McIDAS. The data covers the DC3 project study area from 16 May to 30 June 2012.
DOI: 10.5281/zenodo.15599058
title: Height growth and survival data from a Pinus pinea multi-site international provenance test (Silva Mediterranea; France, Spain, Tunisia)

description: The dataset contains tree height and survival individual measurements from a set of nine common gardens of stone pine (Pinus pinea L.) established in the 1990s under the Silva Mediterranea FAO’s framework. It includes measurements of over 14,000 individuals from 56 provenances from nine countries covering the species distribution. The common gardens are located in France (Sainte Baume, Laquina, Loupian, and La Gaillarde), Spain (Cucalón, Quintos de Mora, and Tordesillas), and Tunisia (Ain Zana and Oued El Bir). 

Data from French common gardens are also available at: Fady, Bruno; Vauthier, Denis; Michotey, Celia; Marty, Maud, 2021, "Phenotypic trait dataset of Pinus pinea from five common gardens of the INRAE GEN4X network", https://doi.org/10.15454/MQKQ1O, Recherche Data Gouv.

 
description: Suggested citation: Vizcaíno-Palomar, N., Guadaño-Peyrot, C., Mutke, S., Fkiri, S., Khouja, M. L., Touhami, I., & Fady, B. (2025). Pinus pinea multi-site international provenance test (Silva Mediterranea; France, Spain, Tunisia) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15599058.
DOI: 10.5281/zenodo.15599057
title: Height growth and survival data from a Pinus pinea multi-site international provenance test (Silva Mediterranea; France, Spain, Tunisia)

description: The dataset contains tree height and survival individual measurements from a set of nine common gardens of stone pine (Pinus pinea L.) established in the 1990s under the Silva Mediterranea FAO’s framework. It includes measurements of over 14,000 individuals from 56 provenances from nine countries covering the species distribution. The common gardens are located in France (Sainte Baume, Laquina, Loupian, and La Gaillarde), Spain (Cucalón, Quintos de Mora, and Tordesillas), and Tunisia (Ain Zana and Oued El Bir). 

Data from French common gardens are also available at: Fady, Bruno; Vauthier, Denis; Michotey, Celia; Marty, Maud, 2021, "Phenotypic trait dataset of Pinus pinea from five common gardens of the INRAE GEN4X network", https://doi.org/10.15454/MQKQ1O, Recherche Data Gouv.

 
description: Suggested citation: Vizcaíno-Palomar, N., Guadaño-Peyrot, C., Mutke, S., Fkiri, S., Khouja, M. L., Touhami, I., & Fady, B. (2025). Pinus pinea multi-site international provenance test (Silva Mediterranea; France, Spain, Tunisia) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15599058.
DOI: 10.15480/882.15322
title: Supplementary material to publication with title: Design guidelines for multi-material parts manufactured in the material extrusion of metals process

description: Multi-material additive manufacturing (MMAM) enables the integration of different materials within a single component, allowing for tailored functionality and the reduction of process steps. Among available metal additive manufacturing (AM) techniques, material extrusion of metals (MEX/M) offers a cost effective and feasible approach for the production of multi-material parts using a commercial feedstock. This study focuses on the fabrication of green parts composed of pure copper (Cu) and Inconel 718 (IN718), selected for their highly complementary properties: Cu offers excellent thermal conductivity, while IN718 provides outstanding mechanical strength, as well as high corrosion and oxidation resistance. These characteristics make the Cu-IN718 combination particularly attractive for demanding aerospace applications, such as heat exchangers and combustion chambers. A Design of Experiments (DoE) approach using Response Surface Methodology (RSM) was employed to evaluate the influence of key printing parameters, such as nozzle temperature, printing speed, extrusion multiplier, and layer thickness on the density and dimensional accuracy of green part test specimens. Optimal process parameter sets for each individual material were identified and a corresponding parameter set for the multi material combination was subsequently derived. Different geometric features, various material topologies and two interlocking geometries were analyzed to assess the print quality, and geometric accuracy of multi-material prints. The results were used to derive a set of design guidelines aimed at the manufacturability, reliability, and quality of Cu-IN718 green parts using MEX/M. These guidelines contribute to future standardization efforts in multi material extrusion, thus supporting more robust and reproducible production of components via metal AM.
DOI: 10.5281/zenodo.17277189
title: Supplementary Table 2. Overview of commercialized entomopathogenic nematodes (EPNs) and their symbiotic bacteria, including registered product names, country of commercialization and their respective target pests.
DOI: 10.5281/zenodo.17277190
title: Supplementary Table 2. Overview of commercialized entomopathogenic nematodes (EPNs) and their symbiotic bacteria, including registered product names, country of commercialization and their respective target pests.
DOI: 10.15468/dl.ewgtf3
title: Occurrence Download

description: A dataset containing 6519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natator depressus"
 ]
}

 The dataset includes 6519 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053390-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpsp9j
title: Occurrence Download

description: A dataset containing 6519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natator depressus"
 ]
}

 The dataset includes 6519 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053388-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f498uq
title: Occurrence Download

description: A dataset containing 575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corylus yunnanensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 575 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053391-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6p72t
title: Occurrence Download

description: A dataset containing 6519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natator depressus"
 ]
}

 The dataset includes 6519 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053389-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u28jen
title: Occurrence Download

description: A dataset listing the 1323 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is b2db85d5-c5fe-4125-9e36-590a5f651829",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 1323 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053378-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk2zdk
title: Occurrence Download

description: A dataset containing 2134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Natator depressus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2020",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)"
 ]
}

 The dataset includes 2134 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053392-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15615282
title: Development of ArgTag for scalable solid-phase synthesis of aggregating peptides

description: Raw data for the project "Development of ArgTag for scalable solid-phase synthesis of aggregating peptides".
DOI: 10.5281/zenodo.17277091
title: Development of ArgTag for scalable solid-phase synthesis of aggregating peptides

description: Raw data for the project "Development of ArgTag for scalable solid-phase synthesis of aggregating peptides".
DOI: 10.15468/dl.ffuk2h
title: Occurrence Download

description: A dataset containing 3469 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Obama nungara"
 ]
}

 The dataset includes 3469 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053393-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bcpssd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vitis acerifolia x Vitis riparia",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053394-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/6wvb-7f1j-3h0a
title: DC3: GOES-West Imager Thermal IR CH4 Data. Version 1.0

description: This dataset contains GOES-15 Imager CH4 Thermal IR Satellite data (AREA format). The data are provided as TAR/GNU zip files. Each tar file contains all routine GOES sectors scanned for that date. These sectors are the original GOES sectors, including CONUS, Northern Hemisphere, Southern Hemisphere, Full Disk and Rapid Scan (as available). The suggested software for manipulating and displaying these data is McIDAS. The data covers the DC3 project study area from 16 May to 30 June 2012.
DOI: 10.15468/dl.6h2jst
title: Occurrence Download

description: A dataset containing 15297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persea americana"
 ]
}

 The dataset includes 15297 records from 669 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053397-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17171775
title: Assessing the Efficacy of Medical Cannabis as a Substitution Therapy for Opioids in Chronic Pain Management in South Africa

description: Background: The global opioid epidemic has intensified, with a 41% increase in use reported in 2020. Medical cannabis has emerged as a potential adjunct in chronic pain management, with evidence suggesting it may reduce opioid dependence and improve patient outcomes.

Objectives: To evaluate the efficacy of medical cannabis in reducing opioid consumption, alleviating pain, and improving quality of life among chronic pain patients in South Africa.

Methods: A six-month mixed-methods study was conducted across six sites, enrolling 302 participants (53.3% female, 69.2% White). Medical cannabis was prescribed and outcomes assessed via patient questionnaires and verified pharmacy dispensing records. Repeated-measures analysis, regression, and ANOVA were applied to evaluate temporal changes and treatment effects.

Results: At baseline, 99.7% reported opioid use. By six months, 72% achieved ≥50% reduction, with a mean reduction of 93% (SD = 17%); 81.8% achieved complete cessation. Repeated-measures analysis confirmed a linear decline in opioid use over time (Wilk’s λ = 0.047, p < 0.001), with significant reductions at each interval (all p < 0.001). Pain severity scores declined from 3.4 to 3.0, with 64% reporting clinically meaningful relief. Treatment type significantly influenced outcomes (F = 3.87, p = 0.022), with a treatment-by-time interaction (p < 0.001) indicating greater improvements among flower and combination users compared to oil alone. Quality-of-life outcomes also improved, with 83.2% reporting better sleep (p = 0.008) and 78.5% reporting improved physical function (p = 0.012).

Conclusions: Medical cannabis use was associated with substantial opioid tapering (p < 0.001), clinically meaningful pain reduction (p = 0.022; interaction p < 0.001), and improvements in sleep and physical function. Flower- and combination-based therapies yielded the greatest benefits. Limitations include the non-randomized, observational design and reliance on self-report measures, which may limit causal inference. Nonetheless, findings support medical cannabis as a promising adjunct in chronic pain treatment, meriting further randomized controlled trials.
DOI: 10.5281/zenodo.17277146
title: Assessing the Efficacy of Medical Cannabis as a Substitution Therapy for Opioids in Chronic Pain Management in South Africa

description: Background: The global opioid epidemic has intensified, with a 41% increase in use reported in 2020. Medical cannabis has emerged as a potential adjunct in chronic pain management, with evidence suggesting it may reduce opioid dependence and improve patient outcomes.

Objectives: To evaluate the efficacy of medical cannabis in reducing opioid consumption, alleviating pain, and improving quality of life among chronic pain patients in South Africa.

Methods: A six-month mixed-methods study was conducted across six sites, enrolling 302 participants (53.3% female, 69.2% White). Medical cannabis was prescribed and outcomes assessed via patient questionnaires and verified pharmacy dispensing records. Repeated-measures analysis, regression, and ANOVA were applied to evaluate temporal changes and treatment effects.

Results: At baseline, 99.7% reported opioid use. By six months, 72% achieved ≥50% reduction, with a mean reduction of 93% (SD = 17%); 81.8% achieved complete cessation. Repeated-measures analysis confirmed a linear decline in opioid use over time (Wilk’s λ = 0.047, p < 0.001), with significant reductions at each interval (all p < 0.001). Pain severity scores declined from 3.4 to 3.0, with 64% reporting clinically meaningful relief. Treatment type significantly influenced outcomes (F = 3.87, p = 0.022), with a treatment-by-time interaction (p < 0.001) indicating greater improvements among flower and combination users compared to oil alone. Quality-of-life outcomes also improved, with 83.2% reporting better sleep (p = 0.008) and 78.5% reporting improved physical function (p = 0.012).

Conclusions: Medical cannabis use was associated with substantial opioid tapering (p < 0.001), clinically meaningful pain reduction (p = 0.022; interaction p < 0.001), and improvements in sleep and physical function. Flower- and combination-based therapies yielded the greatest benefits. Limitations include the non-randomized, observational design and reliance on self-report measures, which may limit causal inference. Nonetheless, findings support medical cannabis as a promising adjunct in chronic pain treatment, meriting further randomized controlled trials.
DOI: 10.15468/dl.5ruv54
title: Occurrence Download

description: A dataset containing 6519 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natator depressus"
 ]
}

 The dataset includes 6519 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053399-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.