cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rj6rsnvt2j.1
title: Raw Data from: Modification of Natural Clays with Magnetite to Provide their Boosted Antimicrobial Properties and Chemopreventive Activity against Melanoma

description: The aim of the study was to synthesize and characterize Fe3O4-loaded clays, which can be potentially used as a component of dressing materials designed for the management of chronic and infected wounds. Moreover, it was assumed that selective toxicity of Fe3O4 nanoparticles towards cancer cells may provide an additional benefit of magnetite–clay complexes in the treatment of post-oncological skin wounds, where the complex can significantly reduce viability of remaining tumor cells after skin cancer resection, providing a chemopreventive effect. The magnetite-clay complexes were synthesized by the chemical co-precipitation method and characterized using XRD, TEM, STEM-EDS, SEM, and SQUID magnetometer. Antimicrobial properties were determined by evaluation of MIC values. Cytotoxicity of the complexes towards melanoma cells and normal human skin fibroblasts was assessed by MTT assay.

Microsoft Excel file (.xlsx) entitled ‘MIC evaluation’ contains the raw results of MIC estimation. Abbreviation of the samples: M – montmorillonite, MMT – Fe3O4- montmorillonite, B – bentonite, MB – Fe3O4-bentonite, K – kaolinite, MK – Fe3O4- kaolinite, G – glauconite, MG – Fe3O4-glauconite

Folder entitled ‘Cytotoxicity test’ contains 2 Microsoft Excel files (.xlsx) presenting raw MTT results either for BJ fibroblasts or A375 melanoma cells (file name indicates the type of cells used).

Folder entitled ‘SEM’ contains raw SEM images (.TIF) of the samples.

Folder entitled ‘SQUID Magnetometer’ contains original data (.dat files) obtained with the Magnetometer (file name indicates the type of sample) as well as raw data for all samples exported to Microsoft Excel file (.xlsx).

Folder entitled ‘XRD’ contains original data from XRD (.xrdml files). File name indicates the type of sample.

Folder entitled ‘TEM’ contains raw TEM micrographs of magnetite nanoparticles (.TIF) and Microsoft Excel file (.xlsx) with raw data for the measurement of particle length distribution.

Folder entitled ‘STEM-EDS’ contains raw micrographs of STEM-EDS mapping (.TIF)
DOI: 10.57906/pffh-wv97
title: Statutory Homelessness Flows - England
DOI: 10.17632/787w7j272p
title: Deep Learning

description: This dataset contains qualitative and quantitative data
DOI: 10.17632/787w7j272p.1
title: Deep Learning

description: This dataset contains qualitative and quantitative data
DOI: 10.34740/kaggle/dsv/13171116
title: Mahanagar Yatayat Transport Dataset
DOI: 10.17632/v6nrr6gn7v
title: Overexpression of SpANS from Spirodela polyrhiza Enhances Anthocyanin Accumulation and Growth in Lemna minor

description: Raw data
DOI: 10.17632/v6nrr6gn7v.1
title: Overexpression of SpANS from Spirodela polyrhiza Enhances Anthocyanin Accumulation and Growth in Lemna minor

description: Raw data
DOI: 10.5281/zenodo.14775236
title: Quantitative Degassing of pressure core sections from the Terrebonne Basin, Walker Ridge Block 313, Site H, Expedition UT-GOM2-2

description: This dataset contains quantitative measurements of the volume of gas and liquid produced during the stepwise depressurization of pressure core whole round sections to atmospheric pressure (quantitative degassing, core processing code QD). These volumes were used to calculate dissolved methane concentration and hydrate saturation. Pressure cores were cut in PCATS and transferred to pressure core chambers. These chambers were depressurized slowly while produced gas and water volumes were tracked over the course of dissociation, and the gas composition was analyzed. The pressure before and after each step was noted. The total amount of gas produced and remaining in the chamber were used to calculate the dissolved methane concentration and gas hydrate saturation. See Expedition UT-GOM2-2 Methods: Quantitative Degassing (Flemings et al., 2025a, https://doi.org/10.5281/zenodo.13971228)

The final processed data is documented in Appendix I, of Expedition UT-GOM2-2 Site H (Flemings et al., 2025b, https://doi.org/10.5281/zenodo.13971276).

The attached readme file, previewed below, describes all the data files in this dataset and their contents. The readme file also contains links to where the data is presented in the expedition proceedings.

Additional data you might expect to find in this dataset can instead be found at the following locations:

The sample depths can be found in the curation dataset (http://doi.org/10.5281/zenodo.14926309). Download the file UT-GOM2-2 CORE LOG depths – sortable.xlsx, see tab “Section-piece log” core processing code “QD”.

Gas samples were captured during quantitative degassing. Gas composition can be found in the gas geochemistry dataset (https://doi.org/10.5281/zenodo.15626975).
DOI: 10.15468/dl.yjsgyb
title: Occurrence Download

description: A dataset containing 472463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Jynx torquilla)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 472463 records from 1020 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016106-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mgcsyhvcfs
title: Achieving SDGs Through Nursing: A Systematic Review of Care Quality, Patient Satisfaction, and Health System Capacity Across 11 Countries

description: This study is a systematic review and meta-analysis conducted to evaluate global disparities in nursing care quality, health system readiness, and patient satisfaction, with particular reference to Sustainable Development Goal (SDG) progress.

Following PRISMA 2020 guidelines, a comprehensive search was performed across PubMed, CINAHL, Scopus, Web of Science, Cochrane Library, and gray literature sources (WHO, World Bank, OECD). The search covered evidence from 11 countries representing diverse health system contexts:
 • Fragile/LICs: Burundi, Afghanistan, South Sudan
 • LMICs: Bangladesh, Cambodia, Philippines
 • UMICs: Brazil, Albania
 • HICs: Germany, South Korea, United States

Studies were included if they reported on nursing-sensitive quality indicators (NSQIs) such as staffing ratios, pressure injuries, patient falls, mortality, technology readiness, and patient satisfaction.

Objectives
 1. To compare nursing workforce capacity, hospital facilities, and SDG-related progress across different income groups.
 2. To evaluate patient satisfaction outcomes across contexts through meta-analysis.
 3. To assess risk of bias and certainty of evidence (ROBINS-I, JBI, GRADE).
 4. To identify evidence gaps for nursing-sensitive quality indicators globally.

Key Findings
 • Fragile states had the weakest nurse-to-patient ratios, lowest hospital readiness, and minimal SDG progress.
 • LMICs showed improvements but persistent rural–urban disparities and migration challenges.
 • UMICs achieved moderate outcomes but faced regional inequities.
 • HICs demonstrated advanced facilities, high patient satisfaction, and stronger SDG integration, though workforce burnout was reported.
 • Meta-analysis revealed significantly higher patient satisfaction in HICs compared to LICs (SMD = 0.62; 95% CI 0.50–0.74).
 • Risk of bias was higher in LIC/LMIC studies, while publication bias was suggested by funnel plot asymmetry.

Implications

Findings highlight that nursing care quality reflects broader global health inequities. Strengthening the nursing workforce, infrastructure, and patient-centered strategies is essential to advance SDGs, particularly in fragile and low-resource contexts.
DOI: 10.17632/mgcsyhvcfs.1
title: Achieving SDGs Through Nursing: A Systematic Review of Care Quality, Patient Satisfaction, and Health System Capacity Across 11 Countries

description: This study is a systematic review and meta-analysis conducted to evaluate global disparities in nursing care quality, health system readiness, and patient satisfaction, with particular reference to Sustainable Development Goal (SDG) progress.

Following PRISMA 2020 guidelines, a comprehensive search was performed across PubMed, CINAHL, Scopus, Web of Science, Cochrane Library, and gray literature sources (WHO, World Bank, OECD). The search covered evidence from 11 countries representing diverse health system contexts:
 • Fragile/LICs: Burundi, Afghanistan, South Sudan
 • LMICs: Bangladesh, Cambodia, Philippines
 • UMICs: Brazil, Albania
 • HICs: Germany, South Korea, United States

Studies were included if they reported on nursing-sensitive quality indicators (NSQIs) such as staffing ratios, pressure injuries, patient falls, mortality, technology readiness, and patient satisfaction.

Objectives
 1. To compare nursing workforce capacity, hospital facilities, and SDG-related progress across different income groups.
 2. To evaluate patient satisfaction outcomes across contexts through meta-analysis.
 3. To assess risk of bias and certainty of evidence (ROBINS-I, JBI, GRADE).
 4. To identify evidence gaps for nursing-sensitive quality indicators globally.

Key Findings
 • Fragile states had the weakest nurse-to-patient ratios, lowest hospital readiness, and minimal SDG progress.
 • LMICs showed improvements but persistent rural–urban disparities and migration challenges.
 • UMICs achieved moderate outcomes but faced regional inequities.
 • HICs demonstrated advanced facilities, high patient satisfaction, and stronger SDG integration, though workforce burnout was reported.
 • Meta-analysis revealed significantly higher patient satisfaction in HICs compared to LICs (SMD = 0.62; 95% CI 0.50–0.74).
 • Risk of bias was higher in LIC/LMIC studies, while publication bias was suggested by funnel plot asymmetry.

Implications

Findings highlight that nursing care quality reflects broader global health inequities. Strengthening the nursing workforce, infrastructure, and patient-centered strategies is essential to advance SDGs, particularly in fragile and low-resource contexts.
DOI: 10.17026/ar/on1vd6
title: PAN-00105042 - coin/coin-related, Constantius II (337-361) ?, nummus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105042&lt;/p&gt;
description: Modified: 2025-05-12T08:35:52+02:00
DOI: 10.17632/yf48svb9d8
title: Data for a research article "Algal laboratory evolution at a cold temperature leads to overproduction of lipid under both cold and warm conditions"

description: We working with Chlorella sorokiniana isolates from an earlier laboratory evolution experiment, in which algal populations have evolved under either constantly benign (25°C) or constantly cold conditions (15°C). The growth performance and lipid content per cell of each algal isolate were measured at both temperatures. We measured the growth rate, cell density, chlorophyll-a content, lipid yield, and lipid content per cell of each isolate and ancestral strain at 15 ℃ and 25 ℃ in the laboratory. The selection response values for each trait were calculated. Selection response values (log response ratio) were calculated as standardized measures of evolutionary changes relative to the ancestral strain. We identified that the specific combination of "cold-evolved" algae cultivated under "benign" conditions yields extremely high population-level lipid productivity. Besides, adaptation to cold did not incur a cost in benign environments, and increased lipid content was not associated with a reduced growth rate.
DOI: 10.17632/yf48svb9d8.1
title: Data for a research article "Algal laboratory evolution at a cold temperature leads to overproduction of lipid under both cold and warm conditions"

description: We working with Chlorella sorokiniana isolates from an earlier laboratory evolution experiment, in which algal populations have evolved under either constantly benign (25°C) or constantly cold conditions (15°C). The growth performance and lipid content per cell of each algal isolate were measured at both temperatures. We measured the growth rate, cell density, chlorophyll-a content, lipid yield, and lipid content per cell of each isolate and ancestral strain at 15 ℃ and 25 ℃ in the laboratory. The selection response values for each trait were calculated. Selection response values (log response ratio) were calculated as standardized measures of evolutionary changes relative to the ancestral strain. We identified that the specific combination of "cold-evolved" algae cultivated under "benign" conditions yields extremely high population-level lipid productivity. Besides, adaptation to cold did not incur a cost in benign environments, and increased lipid content was not associated with a reduced growth rate.
DOI: 10.15468/dl.w39b6y
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016160-250920141307145/datasets/export for details.
DOI: 10.17632/33tm3dd9dw
title: FAME-CRISPR: Improved CRISPR-Cas9 Genome Editing via HDAC Inhibition and Engineered Virus-Like Particle Delivery

description: Raw data deposited for "FAME-CRISPR: Improved CRISPR-Cas9 Genome Editing via HDAC Inhibition and Engineered Virus-Like Particle Delivery" by Djamshidi et al-Cell Reports Methods
DOI: 10.17632/33tm3dd9dw.1
title: FAME-CRISPR: Improved CRISPR-Cas9 Genome Editing via HDAC Inhibition and Engineered Virus-Like Particle Delivery

description: Raw data deposited for "FAME-CRISPR: Improved CRISPR-Cas9 Genome Editing via HDAC Inhibition and Engineered Virus-Like Particle Delivery" by Djamshidi et al-Cell Reports Methods
DOI: 10.17026/ar/d3vqrt
title: PAN-00022269 - pin with baluster-shaped head

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00022269&lt;/p&gt;
description: Modified: 2025-06-18T16:32:37+02:00
DOI: 10.17632/c3mng58tsn
title: "Evaluating the Effectiveness of Tablets and Smartphones for Learning Data Science: Opportunities and Limitations"

description: Descriptive (example)

Overall Pretest mean ≈ 50 ± 10.

Overall Posttest mean ≈ 62 ± 11.

Average Gain by device (approximate):

Tablet: mean gain ≈ 13–15 points

Laptop: mean gain ≈ 11–13 points

Smartphone: mean gain ≈ 9–11 points

ANOVA

F-statistic: expect F &gt; 5, p &lt; 0.01 (indicating at least one group differs).

Tablet vs Smartphone (t-test)

t statistic: positive, p &lt; 0.05 (tablets better on average than smartphones).

Regression

After adjusting for Hours, Motivation, Usability, and prior experience, tablet device dummy retains a positive coefficient vs smartphone; magnitude depends on data noise but typically ~ +1.5–3 gain points.

Dropout

Dropout rate primarily correlated with poor internet and low motivation. Expect dropout around 8–15% overall depending on the synthetic parameters.
DOI: 10.17632/c3mng58tsn.1
title: "Evaluating the Effectiveness of Tablets and Smartphones for Learning Data Science: Opportunities and Limitations"

description: Descriptive (example)

Overall Pretest mean ≈ 50 ± 10.

Overall Posttest mean ≈ 62 ± 11.

Average Gain by device (approximate):

Tablet: mean gain ≈ 13–15 points

Laptop: mean gain ≈ 11–13 points

Smartphone: mean gain ≈ 9–11 points

ANOVA

F-statistic: expect F &gt; 5, p &lt; 0.01 (indicating at least one group differs).

Tablet vs Smartphone (t-test)

t statistic: positive, p &lt; 0.05 (tablets better on average than smartphones).

Regression

After adjusting for Hours, Motivation, Usability, and prior experience, tablet device dummy retains a positive coefficient vs smartphone; magnitude depends on data noise but typically ~ +1.5–3 gain points.

Dropout

Dropout rate primarily correlated with poor internet and low motivation. Expect dropout around 8–15% overall depending on the synthetic parameters.
DOI: 10.5281/zenodo.14518633
title: Headspace gas composition (H2, H2S, C1-C6, O2, N2, CO2, Ar, and He) from the Terrebonne Basin, Walker Ridge Block 313, Site H, Expedition UT-GOM2-2

description: This dataset contains gas composition data from headspace gas samples (sample code HS). Sediment plugs were collected from an exposed core cut adjacent to the standard whole round sampling set onboard the Q4000. The plugs were sealed in glass vials after being fixed with potassium chloride. Gas was extracted from the vials at The Ohio State University and analyzed for gas composition using a Thermo Fisher Trace 1310 Gas Chromatograph (GC) equipped with a thermal conductivity detector (TCD) and flame ionization detector (FID), and a Standard Research Systems (SRS) quadrupole mass spectrometer. See Expedition UT-GOM2-2 Methods: Gas Geochemistry (Flemings et al., 2025a, https://doi.org/10.5281/zenodo.13971228).

The attached readme file, previewed below, describes the data file in this dataset and its contents. The readme file also contains links to where the data is presented in the expedition proceedings.

Additional data you might expect to find in this dataset can instead be found at the following locations:

The sample depths can be found in the Curation dataset (http://doi.org/10.5281/zenodo.14926309). Download the file UT-GOM2-2 CORE LOG depths – sortable.xlsx, see tab “Sample-measurement log” sample code “HS”.

Gas composition of voids, pressure cores, and dissociated gas hydrate can be found in the USGS Gas Geochemistry dataset (https://doi.org/10.5281/zenodo.15626975).

Gas composition of additional void samples using an Inficon Fusion MicroGC chromatograph can be found in the void gas geochemistry dataset (https://doi.org/10.5281/zenodo.16689630).
DOI: 10.15468/dl.6e97wu
title: Occurrence Download

description: A dataset containing 132547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pipistrellus nathusii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 132547 records from 2668 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016125-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24403/jp.1474264
title: Jonas Fansa wird ab Juni Generaldirektor der ZLB
DOI: 10.15468/fyn6c9
title: Données naturalistes opportunistes issues de la plateforme INaturalist-Données naturalistes opportunistes "marie-be"

description: Données naturalistes opportunistes saisies sur iNaturalist à partir du compte "marie-be"
DOI: 10.15468/dl.pkt2nn
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinolophus acuminatus Peters, 1871"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002014-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwtuyg
title: Occurrence Download

description: A dataset containing 10230 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenopharyngodon idella (Valenciennes, 1844)"
 ]
}

 The dataset includes 10230 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002015-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbykfv
title: Occurrence Download

description: A dataset containing 2483 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus glomeratus L."
 ]
}

 The dataset includes 2483 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002017-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrdzru
title: Occurrence Download

description: A dataset containing 1620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinolophus arcuatus Peters, 1871"
 ]
}

 The dataset includes 1620 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002019-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpsfyy
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((115.6215 32.12875, 115.7321 32.12875, 115.7321 32.22354, 115.6215 32.22354, 115.6215 32.12875))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002018-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdakub
title: Occurrence Download

description: A dataset containing 1245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((78.32228 32.66603,78.8373 31.30011,81.14369 30.00137,81.70349 30.42682,83.89792 29.01612,86.2267 27.82934,88.04046 27.80694,88.73461 28.16522,88.86897 27.17996,89.67508 28.25479,91.53363 27.9413,91.8919 27.67259,92.13822 26.88887,97.35558 28.27718,97.60189 28.54588,98.29605 27.67259,98.74389 27.42628,98.67672 25.81405,100.60112 25.61635,102.18411 26.95787,103.06951 29.58724,103.7671 30.8751,103.82076 32.45809,103.47197 36.02653,102.66706 37.79733,98.85715 39.54131,95.95947 39.54131,94.51063 39.64863,89.11772 38.92421,87.58839 38.97787,85.52246 38.57541,80.47835 37.55586,77.74165 36.268,78.09045 35.35577,78.60022 34.09474,79.61978 32.94104,78.32228 32.66603))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Artiodactyla"
 ]
}

 The dataset includes 1245 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002016-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6pgz5
title: Occurrence Download

description: A dataset containing 636 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperus glaber L."
 ]
}

 The dataset includes 636 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002020-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.