cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/96ynr52vwh.1
title: One step hydrothermal synthesis of green Iron-Modified Catalyst by food waste biogas residue for Ozonation of Ciprofloxacin: Characterization, Degradation Mechanism, DFT study and Reactive Oxygen Species role

description: Recently, Biogas has been a well-known energy source due to global energy crises and huge urban leftover food waste by hospitality or food delivery. Still, it produces untreated biogas residue (BR), which causes heavy metals, and hazardous compounds leaching. Additionally, the proliferation of antibiotics such as ciprofloxacin (CIP) in the dairy and veterinary industry results in continuous release into water, posing a serious threats to ecological health. Herein, this study presents the hydrothermal synthesis of a series of Iron (Fe)-modified catalysts derived from eco-friendly ball milling boosted biogas residual biochar (BRB) to remove CIP via catalytic ozonation degradation. Fe-modified biochar with 2.5 wt. % iron loading and synthesized at 240 ℃ (2.5Fe-FBRB-240 ℃) exhibited the highest removal efficiency of 98.61% and stability for ten cycles of 20 min each. An optimal catalyst has demonstrated potential for CIP degradation in river and tap water, and ICP-MS has shown safer Fe-leaching. Toxicity assessment, mechanism, and degradation pathways were also proposed. Electrochemical studies, density functional theory (DFT) calculations, and Electron paramagnetic resonance (EPR) analysis confirmed the involvement of electron transfer and reactive oxygen species, like hydroxyl radicals (•OH), sulfate radicals (SO4•−), and singlet oxygen (1O2) in CIP degradation. This study provides a novel perspective for eliminating organic contaminants using biogas residue biochar-based catalysts.
DOI: 10.15468/dl.443rau
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.4.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Narcissus L."
 ]
}

 The dataset includes 275 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049818-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jhhw9wp5dk.1
title: The vimentin intermediate filaments coordinate actin stress fibers and podosomes to determine the ECM degradation by macrophages

description: Rawdata of quantification and western blot imaging in this paper.
DOI: 10.15468/dl.eh3tc9
title: Occurrence Download

description: A dataset containing 933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.1.1_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 933 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049819-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hxhbbm497d.1
title: PeruFoodNet

description: PeruFoodNet is a dataset consisting of 4000 images of traditional Peruvian dishes. This dataset includes 40 different types of dishes, with 100 images for each dish.
DOI: 10.17632/hxhbbm497d.2
title: PeruFoodNet - A Traditional Peruvian Food Dataset

description: PeruFoodNet is a dataset consisting of 4000 images of traditional Peruvian dishes. This dataset includes 40 different types of dishes, with 100 images for each dish. The objective of this dataset is to train deep learning models for the identification and classification of dishes, as well as the future inference of allergenic ingredients through a chatbot integrated into a social media platform. The collected images exhibit a variety of presentations, settings, angles, and lighting conditions, which will facilitate more effective learning.
DOI: 10.17632/hxhbbm497d.3
title: PeruFoodNet - A Traditional Peruvian Food Dataset

description: PeruFoodNet is a dataset consisting of 4000 images of traditional Peruvian dishes. This dataset includes 40 different types of dishes, with 100 images for each dish. The objective of this dataset is to train deep learning models for the identification and classification of dishes, as well as the future inference of allergenic ingredients through a chatbot integrated into a social media platform. The collected images exhibit a variety of presentations, settings, angles, and lighting conditions, which will facilitate more effective learning.
DOI: 10.17632/yz53hthkhk.1
title: Biowaste to carbon capture: LCA

description: The aim of the study was to compare Polyethylene terephthalate (PET) plastic bottle production and Polyethylene furanoate (PEF) plastic bottle production which uses captured carbon, by using a Life Cycle Assessment (LCA). From this, its viability in replacing PET on a global scale would have been determined. The scope of the LCA catered for a cradle to gate system boundary being utilized, and the functional units being used were 1 ton of PET and 1 ton of PEF. The software utilized for the LCA was SimaPro and in this software, a ReCiPe 2016 methodology was utilized to obtain the LCIA results. It was concluded that the production of PEF produced a higher rate of environmental emissions and impacts. It was also noted however that other research conducted previously has shown the opposite. This conclusion guides the other conclusion of more research being required for PEF production as it is still a new field of research. Another simple conclusion involved the general encouragement of recycling. A major limitation involved the use of a cradle to gate analysis as opposed to cradle to grave. A recommendation would be for further research to involve cradle to grave system boundaries, as well as the exploration of other biomasses.
DOI: 10.17632/4b38pz9k2r.1
title: Environmental Impact Analysis on a green ammonia process design in Trinidad & Tobago

description: Ammonia (NH3) has been investigated as a possible energy source in recent years, with an emphasis on the benefits and difficulties of a fully worldwide deployment from a techno-economic standpoint. The adoption of ammonia as fuel is seen as a technique to help decarbonization; nevertheless, an evaluation of the environmental profile is required to validate the long- term viability of the switch to ammonia as fuel to produce green hydrogen. This paper compares a research report on ammonia synthesis that was based on actual fieldwork using the program Simapro to evaluate the environmental life cycle effects of a green ammonia process. For each of the two ammonia manufacturing processes, a cradle-to-gate evaluation was created. The original ammonia synthesis process has a better global warming potential (GW100a) of 760 kg CO2 eq, abiotic depletion (fossil fuels) of 1.24 x 104 MJ, and ozone layer depletion (ODP) of 6.62 x 10-5 kg CFC-11 eq despite the green ammonia process producing an annual profit of 15,415,891.20
$USD. The traditional ammonia process, which has a lower effect percentage on various categories, is generally preferable over the green ammonia process, according to an LCA completed for this research.
DOI: 10.17632/7bkycv63pc.1
title: Antioxidative activity of the tree of heaven leaves (Ailanthus altissima (Mill.) Swingle)

description: Ailanthus altissima (Mill.) Swingle, commonly called the tree of heaven (Simaroubaceae), is an invasive woody plant species. Originally from northern and central China, it has spread to Europe, America, Australia, and other areas, where it has become a noxious weed. In Europe, A. altissima is one of the most invasive species, harming local biodiversity . It competes with native plants, inhibits their seed germination and seedling growth, and is less susceptible to herbivorous insects.
The tree of heaven leaves were used as a source for extraction, chemical characterization, and encapsulation of leaf extracts. Obtained crude leaf extract (CLE) and nano-capsulated leaf extract (ELE) were applied in different concentrations to test feeding deterrent activity, digestive and contact toxicity as well as their effect on larval behavior, namely, growth and feeding indices, and molting of the spongy moth larvae. Antioxidative activity was investigated using two commonly applied in vitro assays, that differ in their working principles, where ABTS ((2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) test served to assess free radical scavenging ability, while cupric ion reducing antioxidant capacity assay (CUPRAC) was employed as an electron transfer-based test measuring the substance ability to reduce Cu2+ to Cu+. Results of the antioxidative activity was used for the explanation of the spongy moth larvae behavior.
DOI: 10.15468/dl.79n5jw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-40.38613 27.88931,-10.68195 27.88931,-10.68195 42.91133,-40.38613 42.91133,-40.38613 27.88931))",
 "TaxonKey is Myctophum affine (Lütken, 1892)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049820-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t45abn
title: Occurrence Download

description: A dataset containing 1126017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.93425 18.30828,-89.10824 14.76442,-85.02295 12.84483,-83.20181 8.80877,-81.13455 8.11969,-79.21496 9.39942,-77.78758 8.51345,-77.00005 7.38139,-72.964 10.87602,-71.68427 8.26735,-68.58339 10.13772,-61.49568 8.80877,-61.98788 7.72593,-56.52443 5.16648,-51.50397 2.5578,-49.23984 3.29611,-47.71401 8.71034,-53.17745 27.61091,-56.52443 32.97591,-58.54247 34.4033,-75.12969 33.96032,-78.87042 34.55096,-82.06974 30.61334,-89.7481 31.00711,-97.03269 29.57972,-98.31242 25.00223,-97.5249 19.78489,-97.22958 19.04658,-96.93425 18.30828))",
 "TaxonKey is Anthozoa"
 ]
}

 The dataset includes 1126017 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049812-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ckgwk8jsst.1
title: paper

description: Paper
DOI: 10.17632/zjtfrb2m4n.1
title: Cyber Diplomacy 2024

description: This study argues that there is a number of integrated factors, that pushed together to reach for the Israeli - Emirati cyber diplomacy. These factors are: the Israeli cyber power, the UAE digital transformation, the cyber threats facing the UAE, the weakness and fragility of Arab regimes, the American pressure and the threat of Iran and its proxies, and it is not only driven by the security obsession.
The research in this study was conducted using qualitative research methods. According to Creswell, qualitative research is primarily Inductive, with researchers deriving meaning from data collected in the field. (Creswell,2003, p.9) Data is gathered from various library sources, including reports, journals, and reliable news outlets, classifying this research as a literature study. In qualitative research, the aim is to uncover the meaning, process, and context of the behavior or social event being observed. (Ugwu & Chinyere, 2023) This type of research is exploratory and seeks to explain the 'how' and 'why' of a social phenomenon within a specific context. The other method was conducted using the Content Analysis approach, according to Krippendorff, content analysis is potentially one of the most important research techniques in the social sciences. The content analyst views data as representations not of physical events but of texts, images, and expressions that are created to be seen, read, interpreted, and acted on for their meanings, and must therefore be analyzed with such uses in mind. (Krippendorff, 2004)
DOI: 10.17632/d52pwdmcww.1
title: Dermatologic Conditions and Care for Patients Experiencing Homelessness in the U.S.: A Scoping Review

description: A scoping review on dermatologic conditions and care for patients experiencing homelessness in the U.S.
DOI: 10.17632/d52pwdmcww.2
title: Dermatologic Conditions, Care, and Considerations for Patients Experiencing Homelessness in the U.S.

description: A clinical review on dermatologic conditions and care for patients experiencing homelessness in the U.S.
DOI: 10.17632/ny5z3zjsdc.1
title: An Exploration of Exaggerated Identity Theft Fears in Hoarding

description: Introduction: Individuals with hoarding symptoms often report laborious routines of reviewing and destroying paperwork prior to discarding, citing fears of identity theft if personal information is discarded. While fears of identity theft seem likely to be elevated in hoarding disorder, it is unclear if these fears are elevated beyond what is normative for older adults, and whether such fears may be related to third factors. Method: In the current study we sought to explore whether fears of identity theft were higher among 103 individuals high in hoarding symptoms as compared with 59 non-hoarding controls. We also sought to examine whether higher fears of identity theft were attributable to third factors such as increased past exposure to identity theft victimization, respondent age, or higher perfectionism scale scores. Results: Findings suggested that individuals in the hoarding group reported higher fears of identity theft, but not significantly higher history of exposure to victimization. Other variables such as age, Frost Perfectionism Scale subscale scores, and co-occurring anxiety and depression symptoms did not appear to explain the relationship between hoarding and increased fears of identity theft, suggesting it may have some specificity to hoarding.
DOI: 10.17632/895ttnwgxf.1
title: Microcredentials in education to improve the employability of Latin American universities

description: This systematic review aimed to determine the universities in Latin America that have implemented microcredentials in the training of dentists, analyzing their impact on the employability of graduates. However, the study revealed a complete absence of eligible articles that met the inclusion criteria, highlighting a significant gap in the academic literature on this topic. Despite the increasing global recognition of microcredentials as effective tools to address specific skill gaps and enhance employability, no empirical studies documenting their application in the field of dentistry within the region were identified.
In the published book by Romero-Rostagno (2024) relevant data on microcredentials in Ibero-America are appreciated, and for this research some data on universities and the microcredentials they offer to their undergraduate and graduate students were extracted and updated.
DOI: 10.17632/pw8nkbhdwn.1
title: Fire vs Root

description: This study reveals the extent of damage to plant roots growing in peatlands during smoldering events.
DOI: 10.17632/c88pzyvck2.1
title: The normal distribution (histograms and fitting curves) of soil mass (pi) at different particle grades for soil samples from XC, MLP, DF, TMD, JSR, Moon

description: The corresponding Normal distribution curves of soils from XC, MLP, DF, TMD, JSR, and the Moon.
DOI: 10.17632/b2876z8m4y
title: Metagenomic insights into phosphorus cycling after alpine grassland restoration

description: Fieldwork was conducted in early August 2022, focusing on degraded meadow and desertified steppe restoration sequences. Four random plots (30 m × 10 m each) were established at each site, and surface soil samples were collected from ten randomly selected points within each plot, mixed to form composite samples. A plot of 50 cm × 50 cm was designated for assessing vegetation characteristics and harvesting the aboveground biomass. Plant leaves were dried and ground into fine powder for P content analysis. Soil samples were cleaned to remove roots, litter, and stones, then divided into three portions: one air-dried for physicochemical property analysis, one sieved (2 mm) and stored at 4 °C for microbial biomass and enzyme activity assays, and one stored at -80 °C for metagenomic analysis. The metagenomic sequencing data were submitted to the NCBI Sequence Read Archive under accession number PRJNA1194969.
DOI: 10.17632/b2876z8m4y.1
title: Metagenomic insights into phosphorus cycling after alpine grassland restoration

description: Fieldwork was conducted in early August 2022, focusing on degraded meadow and desertified steppe restoration sequences. Four random plots (30 m × 10 m each) were established at each site, and surface soil samples were collected from ten randomly selected points within each plot, mixed to form composite samples. A plot of 50 cm × 50 cm was designated for assessing vegetation characteristics and harvesting the aboveground biomass. Plant leaves were dried and ground into fine powder for P content analysis. Soil samples were cleaned to remove roots, litter, and stones, then divided into three portions: one air-dried for physicochemical property analysis, one sieved (2 mm) and stored at 4 °C for microbial biomass and enzyme activity assays, and one stored at -80 °C for metagenomic analysis. The metagenomic sequencing data were submitted to the NCBI Sequence Read Archive under accession number PRJNA1194969.
DOI: 10.17632/ybw4rnvzkw.1
title: A Deviation-Frequency-Trend Framework for Multi-Scale Assessment of Soil Erosion Dynamics

description: Research Hypothesis

This study hypothesizes that soil erosion is driven by a combination of environmental, climatic, and socio-economic factors. It suggests that the interaction of these factors, such as precipitation, land use, and vegetation cover, significantly influences soil erosion patterns across regions and time periods.

Data Overview

The dataset consists of two main components:

Soil Erosion Change Trajectories: Time-series data showing changes in soil erosion over multiple phases, categorized by trends such as increasing, decreasing, or stable erosion levels.

18 Driving Factors: Data on 18 variables, including climatic factors (e.g., precipitation), land use characteristics (e.g., vegetation cover), and socio-economic factors (e.g., population density), that impact soil erosion. These factors were collected through remote sensing, surveys, and publicly available sources.

Findings and Observations

Temporal Trends: Regions with higher precipitation and land disturbance show an increasing trend in soil erosion, while areas with improved land cover exhibit stable or declining erosion.
Regional Differences: Erosion levels vary across regions, with some areas showing more severe erosion due to steep slopes and intensive agriculture.
Climate and Land Use: Precipitation intensity is a major driver of soil erosion, followed by land use factors like vegetation cover and land management practices.
Data Interpretation

Soil Erosion Trajectories: Trajectories show the direction and magnitude of erosion changes, helping to predict future trends and identify high-risk areas.
Driving Factors: The analysis helps identify which factors most influence erosion in specific areas, guiding targeted interventions.
Data Collection and Usage

The data was collected using remote sensing, field surveys, and climate data, covering a multi-year period. It can be used by researchers and policymakers to identify erosion-prone areas, assess land management practices, and develop predictive models for future erosion under different scenarios.
DOI: 10.17632/ybw4rnvzkw.2
title: Data for A Deviation-Frequency-Trend Framework for Multi-Scale Assessment of Soil Erosion Dynamics

description: Research Hypothesis

This study hypothesizes that soil erosion is driven by a combination of environmental, climatic, and socio-economic factors. It suggests that the interaction of these factors, such as precipitation, land use, and vegetation cover, significantly influences soil erosion patterns across regions and time periods.

Data Overview

The dataset consists of two main components:

Soil Erosion Change Trajectories: Time-series data showing changes in soil erosion over multiple phases, categorized by trends such as increasing, decreasing, or stable erosion levels.

18 Driving Factors: Data on 18 variables, including climatic factors (e.g., precipitation), land use characteristics (e.g., vegetation cover), and socio-economic factors (e.g., population density), that impact soil erosion. These factors were collected through remote sensing, surveys, and publicly available sources.

Findings and Observations

Temporal Trends: Regions with higher precipitation and land disturbance show an increasing trend in soil erosion, while areas with improved land cover exhibit stable or declining erosion.
Regional Differences: Erosion levels vary across regions, with some areas showing more severe erosion due to steep slopes and intensive agriculture.
Climate and Land Use: Precipitation intensity is a major driver of soil erosion, followed by land use factors like vegetation cover and land management practices.
Data Interpretation

Soil Erosion Trajectories: Trajectories show the direction and magnitude of erosion changes, helping to predict future trends and identify high-risk areas.
Driving Factors: The analysis helps identify which factors most influence erosion in specific areas, guiding targeted interventions.
Data Collection and Usage

The data was collected using remote sensing, field surveys, and climate data, covering a multi-year period. It can be used by researchers and policymakers to identify erosion-prone areas, assess land management practices, and develop predictive models for future erosion under different scenarios.
DOI: 10.17632/jyy8626n3x.1
title: AA thesis manuscript Tofacitinib vs methotrexate

description: My research hypothesis is that methotrexate is non-inferior to tofacitinib in treating moderate to severe alopecia areata. In our research, we evaluated the SALT score, Scalp hair assessment PRO score at every month, and DLQI, and PHQ scores at baseline, at 6 months and 9 months of study period. we also evaluated side effects of both drugs at each visit.
DOI: 10.6084/m9.figshare.27999311.v1
title: Supplementary Material for: ISPAD Clinical Practice Consensus Guidelines 2024: Screening, Staging, and Strategies to Preserve Beta Cell Function in Children and Adolescents with Type 1 Diabetes

description: Introduction
This guideline serves as an update to the 2022 International Society for Pediatric and Adolescent Diabetes (ISPAD) consensus guideline on staging for Type 1 Diabetes (T1D). Key additions include an evidence-based summary of recommendations for screening for risk of T1D and monitoring those with early-stage T1D. In addition, a review of clinical trials designed to delay progression to Stage 3 T1D and efforts seeking to preserve beta cell function in those with Stage 3 T1D is included. Lastly, opportunities and challenges associated with the recent United States Food and Drug Administration (FDA) approval of teplizumab as an immunotherapy to delay progression are discussed. 

WHAT IS NEW
• Stages 1, 2a, 2b, 3a, 3b, and 4 T1D are being used in clinical, research, and regulatory settings.
• General population screening programs for T1D are expanding in both research and clinical settings.
• Effective screening and monitoring programs include individualized education, psychological support, and metabolic surveillance for those identified with islet autoantibodies.
• The anti-CD3 monoclonal antibody (teplizumab) has been approved by the U.S. FDA to delay progression from Stage 2 to Stage 3 T1D
• These insights emphasize that trials and effective screening and treatments in early-stage T1D need to be inclusive for all children and young people irrespective of geographic location and health systems.