cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9r8j2xt7r7
title: Life in Lockdown: Depression, Anxiety, and Quality of Life in the Philippines During COVID-19 — A Cross-Sectional Study with Contextualized Meta-Analysis

description: Life in Lockdown: Depression, Anxiety, and Quality of Life in the Philippines During COVID-19 — A Cross-Sectional Study with Contextualized Meta-Analysis
DOI: 10.17632/9r8j2xt7r7.1
title: Life in Lockdown: Depression, Anxiety, and Quality of Life in the Philippines During COVID-19 — A Cross-Sectional Study with Contextualized Meta-Analysis

description: Life in Lockdown: Depression, Anxiety, and Quality of Life in the Philippines During COVID-19 — A Cross-Sectional Study with Contextualized Meta-Analysis
DOI: 10.17632/x8cw84dtw7.1
title: Ocular sebaceous neoplasms

description: Mendeley supplementary figures to accompany manuscript: Mismatch repair deficiency in ocular sebaceous neoplasms: implications for Muir-Torre screening and classification.
DOI: 10.17632/skw8tjc82f.2
title: Multimodal_Cactaceae_Dataset_25

description: This data article presents a multimodal, non-invasive dataset documenting the physiology, growth, and phenological stages of Stenocereus queretaroensis (commonly known as pitayo), a columnar cactus of high agronomic, nutritional, and cultural importance in the arid and semi-arid regions of southern Zacatecas, Mexico. Although this species has traditionally been harvested from wild populations, initiatives for its controlled cultivation are emerging as part of regional efforts to improve fruit quality, extend shelf life, and ensure consistent production. However, controlled cultivation remains relatively rare and understudied, and there is a lack of systematic, publicly available data describing its developmental cycle and physiological responses under managed conditions.

To address this gap, we designed and executed a comprehensive data collection campaign between January and May 2025, spanning multiple phenological stages from vegetative growth through flowering and fruiting. A total of 109 healthy, fruit-bearing plants were selected according to inclusion criteria that prioritized structural integrity, absence of disease symptoms, and accessibility for imaging and in-field measurements. Data acquisition combined high-resolution multispectral drone imaging with ground-based spectrophotometry in the 400–700 nm range, enabling the capture of both canopy-level spatial information and precise point-based reflectance signatures.

Imaging was performed using a DJI Mavic 3M equipped with RGB and multispectral sensors. For each plant, one nadir RGB photograph and a corresponding set of multispectral captures were obtained. These data were processed to generate three complementary products: (i) original RGB images and baseline NDVI maps provided by the manufacturer’s software, (ii) spatially adjusted RGB frames cropped, scaled, and registered to NDVI outputs to ensure pixel-level alignment and allow region-of-interest (ROI) analysis, and (iii) recalculated NDVI images derived directly from NIR and Red bands to produce independent vegetation index maps. Spectral measurements were acquired with a YS45 field spectrophotometer using a standardized white reference for reflectance calibration. All spectral data were exported in .csv/.txt format and subsequently processed in MATLAB, where reflectance curves were stored as .mat files and plotted as PNG graphs for visual inspection.

Metadata for each sample include phenological stage, acquisition date and time, geographic coordinates, temperature, illumination conditions, and sensor configuration parameters. Together, these components form a hierarchically organized dataset that facilitates temporal tracking of individual plants and robust integration of image-derived features with field-collected spectra. Preprocessing steps included reflectance normalization, geometric registration of images, and standardization of file naming conventions, resulting in structured dataset ready for computational analysis.
DOI: 10.15468/dl.wupmfw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tulipa kosovarica"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016036-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7jw56hrg76.1
title: 数据集

description: 采用室内培养法测定温度和水分对不同退化程度湿地土壤氮矿化的影响。设置3个温度水平（15、25、35 ℃），并根据湿地退化过程中的土壤含水量变化，设置20%（20% FC）、40%(40% FC)、60%（60% FC）、80%田间持水量(80% FC)4个土壤水平，温度和水分采用全因子试验设计，共有12个温度和湿度组合处理，每个温度和湿度下对4种湿地退化（未退化，轻度退化，中度退化，重度退化）程度土壤取样，共48个组合处理，每个处理3次重复，共144个土样，将土样置于恒温培养箱中培养。测定3-49天的土壤氮矿化的变化。
DOI: 10.17026/ar/hh2pxk
title: PAN-00173422 - symmetrical buckle with simple integral bar, rectangular/trapezoidal

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173422&lt;/p&gt;
description: Modified: 2025-04-29T15:11:04+02:00
DOI: 10.17026/ar/wwknys
title: PAN-00019616 - smelt waste or lump of copper-alloy

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00019616&lt;/p&gt;
description: Modified: 2025-07-11T09:57:12+02:00
DOI: 10.15468/dl.2qxgb5
title: Occurrence Download

description: A dataset containing 11720 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 11720 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016037-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pf5gva
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Africa",
 "TaxonKey is Lepicolea ochroleuca"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016038-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/db7xuq
title: PAN-00107743 - coin/coin-related, ?, kleinbrons/quadrans/antoninianus/aes IV ?

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00107743&lt;/p&gt;
description: Modified: 2025-06-11T07:11:02+02:00
DOI: 10.17632/8pp7ps3mnk
title: Topical 1.5% ruxolitinib cream for facial refractory segmental vitiligo: a retrospective single-center case series

description: This study hypothesized that topical 1.5% ruxolitinib cream is effective and safe for facial segmental vitiligo (SV), especially during the progressive stage.
In a retrospective review of 40 patients with treatment-resistant facial SV, all applied the cream twice daily for 24 weeks. Patients were grouped as progressive-stage (n=25) or stable-stage (n=15). The main goal was to see how many achieved ≥75% improvement on the Vitiligo Area Scoring Index (VASI75) by week 24.
The results showed that 45% of all patients (18/40) reached this goal, with an average VASI score improvement of 71.3%.
This study found that topical 1.5% ruxolitinib cream is an effective and safe treatment for refractory facial segmental vitiligo (SV). The most notable finding was the significant difference in response based on disease activity: 64% of progressive-stage patients achieved substantial repigmentation (VASI75), compared to only 13% of stable-stage patients. Improvement continued over time, with significantly better results at 24 weeks than at 12 weeks. The treatment was well-tolerated, with only minor side effects. These results suggest that ruxolitinib works best in active, inflammatory disease. For clinicians, this supports its use especially for progressive SV, with the understanding that longer treatment may be needed for maximum benefit and that stable disease may respond less effectively. The favorable safety profile makes it suitable for medium-term facial use.
Limitations to Consider:
The retrospective design and lack of a control group limit the strength of the conclusions.
The small sample size may introduce bias and limits generalizability.
Therefore, these results should be seen as promising real-world evidence that needs confirmation in larger, prospective, randomized controlled trials.
DOI: 10.17632/8pp7ps3mnk.1
title: Topical 1.5% ruxolitinib cream for facial refractory segmental vitiligo: a retrospective single-center case series

description: This study hypothesized that topical 1.5% ruxolitinib cream is effective and safe for facial segmental vitiligo (SV), especially during the progressive stage.
In a retrospective review of 40 patients with treatment-resistant facial SV, all applied the cream twice daily for 24 weeks. Patients were grouped as progressive-stage (n=25) or stable-stage (n=15). The main goal was to see how many achieved ≥75% improvement on the Vitiligo Area Scoring Index (VASI75) by week 24.
The results showed that 45% of all patients (18/40) reached this goal, with an average VASI score improvement of 71.3%.
This study found that topical 1.5% ruxolitinib cream is an effective and safe treatment for refractory facial segmental vitiligo (SV). The most notable finding was the significant difference in response based on disease activity: 64% of progressive-stage patients achieved substantial repigmentation (VASI75), compared to only 13% of stable-stage patients. Improvement continued over time, with significantly better results at 24 weeks than at 12 weeks. The treatment was well-tolerated, with only minor side effects. These results suggest that ruxolitinib works best in active, inflammatory disease. For clinicians, this supports its use especially for progressive SV, with the understanding that longer treatment may be needed for maximum benefit and that stable disease may respond less effectively. The favorable safety profile makes it suitable for medium-term facial use.
Limitations to Consider:
The retrospective design and lack of a control group limit the strength of the conclusions.
The small sample size may introduce bias and limits generalizability.
Therefore, these results should be seen as promising real-world evidence that needs confirmation in larger, prospective, randomized controlled trials.
DOI: 10.17632/4tfkhs7b6m
title: Green Synthesis of Silver Nanoparticles from Plant Extracts for the Removal of Moss from Stone Heritage Buildings

description: 1. Moss chlorophyll data
This dataset contains measurements of chlorophyll a concentration in moss samples collected from stone surfaces at Yunfeng Tunpu, treated with varying concentrations of silver nanoparticles (AgNPs) and benzalkonium chloride (BC). Measurements were taken on days 1, 15, and 30 using spectrophotometry at wavelengths of 665 nm and 649 nm, with concentrations calculated according to the standard formula. The data were used to evaluate the inhibitory effect of the antimicrobial agents on the photosynthetic capacity of the moss.

2. Moss Treatment Micrograph
This dataset comprises micrographs of moss samples after treatment with antimicrobial agents. The images illustrate changes in moss cell morphology and pigmentation (chlorophyll) before and after treatment, providing visual evidence of the damaging effects of the agents (e.g., silver nanoparticles) on the moss. These images serve as crucial visual documentation for assessing moss removal efficacy.

3.Scanning Electron Microscope (SEM) images

This dataset contains scanning electron microscope (SEM) images of silver nanoparticles (AgNPs) green-synthesized using aqueous and ethanolic extracts of four plants (cinnamon, clove, thyme, Agastache rugosa). The images reveal the morphology (predominantly spherical) and size distribution of the synthesized AgNPs. These data are a key component of the physical characterization of the nanoparticles.

4. Soluble protein data
This dataset records the soluble protein content in moss samples treated with different agents (AgNPs, BC). The protein content was measured using the Bradford method (Coomassie Brilliant Blue G-250) at a wavelength of 595 nm and is expressed as micrograms per gram of moss fresh weight (μg/g). This data was used to analyze the impact of antimicrobial agents on the metabolic activity of moss cells.

5.Species identification data
This dataset contains information and results related to the species identification of moss samples collected from stone heritage surfaces at Yunfeng Tunpu. It primarily includes morphological characteristics descriptions and photomicrographs obtained using stereomicroscopy and light microscopy, along with the final list of identified species (e.g., Brachythecium procumbens, Erythrodontium julaceum). Identification was performed with reference to "Flora Bryophytorum Sinicorum" and "Moss Flora of Guizhou".
DOI: 10.17632/4tfkhs7b6m.1
title: Green Synthesis of Silver Nanoparticles from Plant Extracts for the Removal of Moss from Stone Heritage Buildings

description: 1. Moss chlorophyll data
This dataset contains measurements of chlorophyll a concentration in moss samples collected from stone surfaces at Yunfeng Tunpu, treated with varying concentrations of silver nanoparticles (AgNPs) and benzalkonium chloride (BC). Measurements were taken on days 1, 15, and 30 using spectrophotometry at wavelengths of 665 nm and 649 nm, with concentrations calculated according to the standard formula. The data were used to evaluate the inhibitory effect of the antimicrobial agents on the photosynthetic capacity of the moss.

2. Moss Treatment Micrograph
This dataset comprises micrographs of moss samples after treatment with antimicrobial agents. The images illustrate changes in moss cell morphology and pigmentation (chlorophyll) before and after treatment, providing visual evidence of the damaging effects of the agents (e.g., silver nanoparticles) on the moss. These images serve as crucial visual documentation for assessing moss removal efficacy.

3.Scanning Electron Microscope (SEM) images

This dataset contains scanning electron microscope (SEM) images of silver nanoparticles (AgNPs) green-synthesized using aqueous and ethanolic extracts of four plants (cinnamon, clove, thyme, Agastache rugosa). The images reveal the morphology (predominantly spherical) and size distribution of the synthesized AgNPs. These data are a key component of the physical characterization of the nanoparticles.

4. Soluble protein data
This dataset records the soluble protein content in moss samples treated with different agents (AgNPs, BC). The protein content was measured using the Bradford method (Coomassie Brilliant Blue G-250) at a wavelength of 595 nm and is expressed as micrograms per gram of moss fresh weight (μg/g). This data was used to analyze the impact of antimicrobial agents on the metabolic activity of moss cells.

5.Species identification data
This dataset contains information and results related to the species identification of moss samples collected from stone heritage surfaces at Yunfeng Tunpu. It primarily includes morphological characteristics descriptions and photomicrographs obtained using stereomicroscopy and light microscopy, along with the final list of identified species (e.g., Brachythecium procumbens, Erythrodontium julaceum). Identification was performed with reference to "Flora Bryophytorum Sinicorum" and "Moss Flora of Guizhou".
DOI: 10.15468/dl.2c49ty
title: Occurrence Download

description: A dataset containing 12930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "TaxonKey is Meles meles"
 ]
}

 The dataset includes 12930 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016039-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49emva
title: Occurrence Download

description: A dataset containing 53039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Duttaphrynus melanostictus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53039 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015950-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/4xrkbx
title: PAN-00175042 - excise tax lead/customs lead (pinch lead)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175042&lt;/p&gt;
description: Modified: 2025-06-02T15:59:12+02:00
DOI: 10.6084/m9.figshare.30209302
title: SD大鼠眼组织、血清和脑的非靶向LC-MS代谢组学：对照和二甲双胍治疗

description: 该数据集包含来自研究的非靶向代谢组学数据，该研究调查了长期二甲双胍治疗对小梁网和血眼脑轴的抗衰老作用。将9个月大的雄性Sprague-Dawley大鼠分为三个饮食干预组：（1）喂食标准日粮的对照组，（2）喂食补充0.1%（w/w）二甲双胍的标准日粮组，以及（3）喂食补充0.2%（w/w）二甲双胍的标准日粮组。干预一直持续到大鼠达到18个月大。安乐死后，收集角膜缘、巩膜、视网膜、视神经、大脑和血清的样本，并进行非靶向代谢组学分析。
DOI: 10.6084/m9.figshare.30209302.v1
title: SD大鼠眼组织、血清和脑的非靶向LC-MS代谢组学：对照和二甲双胍治疗

description: 该数据集包含来自研究的非靶向代谢组学数据，该研究调查了长期二甲双胍治疗对小梁网和血眼脑轴的抗衰老作用。将9个月大的雄性Sprague-Dawley大鼠分为三个饮食干预组：（1）喂食标准日粮的对照组，（2）喂食补充0.1%（w/w）二甲双胍的标准日粮组，以及（3）喂食补充0.2%（w/w）二甲双胍的标准日粮组。干预一直持续到大鼠达到18个月大。安乐死后，收集角膜缘、巩膜、视网膜、视神经、大脑和血清的样本，并进行非靶向代谢组学分析。
DOI: 10.17632/8bdkr4szbm.1
title: Responses of a polar predator to a glacier calving event

description: In this study, we tried to document the behavioural response of a polar marine predator to a glacier calving event in Antarctica.
We focused on Weddell seals’ (Leptonychotes weddellii) response to the calving of the Mertz Glacier Tongue in 2010, by:
i) providing a detailed description of fine-scale changes in the sea-ice landscape following the calving event;
ii) examining how these changes influenced the movement and diving behaviour of Weddell seals.

Two types of data are available in this dataset: 
i) Conductivity Temperature Depth Satellite Relayed Data Loggers (CTD-SRDLs) were deployed on female Weddell seals in Terre Adélie (East Antarctica) at Dumont d'Urville Station (−66.66◦, 140.00◦) between 2006 and 2024, to study animals’ distribution and dives. The tags transmit information on their behaviour and location using the Argos satellite system. The data presented here includes the raw data transmitted by the tag, and the filtered data for analysis. 
ii) Antarctic landfast ice data were obtained from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) satellite visible and thermal infrared imagery with a spatial resolution of 1 km and a fifteen-day time stamp. Prior to March 2018, landfast ice data were taken from the dataset of Fraser et al. (2020, Earth Syst. Sci. Data, doi: 10.5194/essd-12-2987-2020). After March 2018, landfast ice maps were produced ad hoc for the Dumont d'Urville region using individual cloud-free MODIS visible and thermal infrared imagery.

Following the calving of the Mertz Glacier Tongue in February 2010, seals spent more time in Commonwealth Bay (from 0.9% to 13% of their post-calving dive locations), consistent with earlier formation of landfast ice and its persistence post-calving (February 2019–2024). Landfast ice persisted in Commonwealth Bay from May onwards, although it was absent before the calving event (2006-2009). In Commonwealth Bay and west of Pointe Géologie Archipelago, seals also dived deeper after calving than before, suggesting changes in foraging strategies.

Further details on the data are presented in the Metadata file.
DOI: 10.15468/dl.6efg9s
title: Occurrence Download

description: A dataset containing 11814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cakile edentula"
 ]
}

 The dataset includes 11814 records from 300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016040-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6dxqw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nicotiana forgetiana",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016042-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/s5cawg
title: PAN-00063910 - crest knob from Roman helmet (type unspecified)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00063910&lt;/p&gt;
description: Modified: 2025-06-09T12:31:32+02:00
DOI: 10.17632/y36txhxf2n
title: Burnout Among Nurses in Hospital Units: A Meta-Synthesis of Global Evidence and Policy Implications for Israel’s Health Workforce

description: 🎯 Aim of the Study
 • To synthesize global evidence (85 studies from 1975–2025) on burnout prevalence, causes, and outcomes among hospital nurses.
 • To apply these insights to inform Israeli health workforce policy, especially in emergency and intensive care units.

⸻

📊 Key Findings
 • High burnout prevalence: 45–73% of hospital nurses experience burnout, with the highest levels in ICU and ER nurses.
 • Contributing factors:
 • Staffing shortages
 • Emotional labor (caring for very ill patients)
 • Poor leadership and communication
 • Heavy documentation burden
 • Shift scheduling problems
 • Consequences of burnout:
 • Increased medical errors, patient falls, and infections
 • Higher nurse turnover, absenteeism, and early retirement

⸻

🧠 Discussion
 • Burnout is not just an individual problem—it is a systemic failure.
 • Leadership style plays a crucial role:
 • Transformational leadership (supportive, empathetic) reduces burnout.
 • Authoritarian/transactional leadership increases exhaustion and depersonalization.

⸻

🏥 Policy Recommendations for Israel
 1. Benchmark staffing ratios against OECD standards → safer workloads.
 2. Leadership training focused on emotional intelligence & trauma-informed care.
 3. Mental health integration → counseling and resilience support in hospitals.
 4. Electronic medical record (EMR) usability reform → reduce paperwork burden.
 5. Burnout surveillance → make it part of accreditation and workforce monitoring.

⸻

✅ Conclusion

Burnout among nurses is a global health workforce issue with direct implications for patient safety and system sustainability. For Israel, tackling burnout requires reforms in staffing, leadership, and mental health infrastructure.
DOI: 10.15468/dl.4fyzu8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nicotiana forgetiana",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016041-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.