cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pd24k6
title: Occurrence Download

description: A dataset containing 4917 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Accipiter nisus (Linnaeus, 1758)",
 "Year 2000-2022"
 ]
}

 The dataset includes 4917 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305149-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjccg6
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachionidium valerioi Ames & C.Schweinf."
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099011-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vabexk
title: Occurrence Download

description: A dataset containing 11407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptogramma crispa (L.) R.Br. ex Hook., Cryptolestes ferrugineus (Stephens, 1831))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 11407 records from 229 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238309-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydhwkm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachionidium vasquezii Luer"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099016-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuenx4
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrixalus elegans (Rao, 1937)"
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305167-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vstpss
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachionidium viridis Becerra & Catchpole"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099017-230224095556074/datasets/export for details.
DOI: 10.15468/dl.czvuws
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Xyliphius kryptos Taphorn & Lilyestrom, 1983)"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014229-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/axva-msgv
title: Measurement of Nitrate at Søgne

description: Measurement of Nitrate at Søgne
DOI: 10.48597/evvk-dkt7
title: Measurement of Inorganics in air and particle phase at Søgne

description: Measurement of Inorganics in air and particle phase at Søgne
DOI: 10.15468/dl.epz538
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garcinia plena Craib"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305182-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh9b8z
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Buddleja officinalis Maxim."
 ]
}

 The dataset includes 465 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099038-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/cmep-6dyj
title: Measurement of Inorganics in air and particle phase at Søgne

description: Measurement of Inorganics in air and particle phase at Søgne
DOI: 10.48597/um4p-3h9a
title: Measurement of Inorganics in air and particle phase at Søgne

description: Measurement of Inorganics in air and particle phase at Søgne
DOI: 10.48597/nqhv-abha
title: Measurement of Inorganics in air and particle phase at Søgne

description: Measurement of Inorganics in air and particle phase at Søgne
DOI: 10.48597/zydp-a6pd
title: Measurement of Sodium at Søgne

description: Measurement of Sodium at Søgne
DOI: 10.15468/dl.29cn8m
title: Occurrence Download

description: A dataset containing 10636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cryptogramma crispa (L.) R.Br. ex Hook., Cryptosphaeria eunomia (Fr.) Fuckel)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 10636 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238310-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/37pm7jk7jn.4
title: The dataset of photoplethysmography signals collected from a pulse sensor to measure blood glucose level

description: Non-invasive monitoring and surveillance methods of blood glucose measurement can provide ease of use and simplicity for different individuals while reducing the risks and damages of invasive methods. The non-invasive method based on photoplethysmography (PPG) signal is one of the innovative methods on this topic which numerous studies have been conducted by research centers and various companies. However, due to various reasons, the reviewed dataset was not available and no standard dataset has been published on this topic. The presented dataset, which was sampled by the research team of the digital systems of the University of Science and Technology in Mazandaran, Behshahr, Iran, includes 67 raw PPG signals with 2175 Hz sampling frequency along with labeled data: age, gender, and the invasive blood glucose level which can be used in other studies and learning algorithms.
DOI: 10.17632/3b47wbbfdp
title: SMR DataSet

description: SMR seraching strategy, Extracted data and results
DOI: 10.17632/3b47wbbfdp.1
title: SMR DataSet

description: SMR seraching strategy, Extracted data and results
DOI: 10.17632/sxy3dyzh6h
title: Radon in Šparožna and Biserujka Caves

description: Radon concentration was measured in two speleological objects in Croatia, Šparožna Cave and Biserujka Cave. This dataset includes direct measurements of radon concentrations, measurement errors, floating mean concentrations, and several other measuring conditions, all measured with an AlphaE radon monitor.
DOI: 10.17632/sxy3dyzh6h.1
title: Radon in Šparožna and Biserujka Caves

description: Radon concentration was measured in two speleological objects in Croatia, Šparožna Cave and Biserujka Cave. This dataset includes direct measurements of radon concentrations, measurement errors, floating mean concentrations, and several other measuring conditions, all measured with an AlphaE radon monitor.
DOI: 10.17632/b9z7tty3my
title: Dataset: Sedentary Accumulation and Mental Health in University Teachers (Two-Wave Cohort, China)

description: This dataset supports the manuscript “Sedentary Accumulation Patterns and Mental Health Among University Teachers: Longitudinal Evidence from a Two-Wave Cohort.” It includes de-identified data from 769 full-time university teachers in China, assessed at two time points ~12 months apart.
Teachers wore thigh-mounted accelerometers (activPAL4) for 7 consecutive days at each wave. Key sedentary behavior measures are mean sitting-bout length (MBL), the proportion of sitting time in prolonged ≥30-minute bouts (Prolonged30%), and total daily sitting time. Mental health outcomes include the WHO-5 Well-Being Index, Perceived Stress Scale (PSS-10), and Maslach Burnout Inventory – Emotional Exhaustion (MBI-EE). Covariates include demographics, body mass index, sleep quality (PSQI), and moderate-to-vigorous physical activity (MVPA).
All records are fully anonymized. Analysis scripts (R) for data processing and modeling are provided to facilitate replication and secondary use.
DOI: 10.17632/b9z7tty3my.1
title: Dataset: Sedentary Accumulation and Mental Health in University Teachers (Two-Wave Cohort, China)

description: This dataset supports the manuscript “Sedentary Accumulation Patterns and Mental Health Among University Teachers: Longitudinal Evidence from a Two-Wave Cohort.” It includes de-identified data from 769 full-time university teachers in China, assessed at two time points ~12 months apart.
Teachers wore thigh-mounted accelerometers (activPAL4) for 7 consecutive days at each wave. Key sedentary behavior measures are mean sitting-bout length (MBL), the proportion of sitting time in prolonged ≥30-minute bouts (Prolonged30%), and total daily sitting time. Mental health outcomes include the WHO-5 Well-Being Index, Perceived Stress Scale (PSS-10), and Maslach Burnout Inventory – Emotional Exhaustion (MBI-EE). Covariates include demographics, body mass index, sleep quality (PSQI), and moderate-to-vigorous physical activity (MVPA).
All records are fully anonymized. Analysis scripts (R) for data processing and modeling are provided to facilitate replication and secondary use.
DOI: 10.17632/x543g8r5sz
title: Cascades_ni_fenicr_zr

description: Final structures for Ni, FeNiCr and Zr 80 keV displacement cascades:

All classical molecular dynamics simulations were performed using the DYMOKA code (Becquart et al., 1997). The simulation box size was adapted according to the PKA energy to avoid any interaction between replicated image, as periodic boundary conditions were applied in all directions during the simulations. Since this study focuses exclusively on a PKA energy of 80 keV, the box dimensions were set to 98x98x98 unit cells (3764768 atoms) for both FeNiCr and Ni fcc materials, and to 122x152x76 unit cells (2818688 atoms) for hcp Zr. 
For the simulations, the empirical interaction potentials used were derived using the Embedded Atom Method (EAM) approach. The FeNiCr potential was originally derived by Bonny et al., 2011 and hardened by Beland et al., 2017, the Ni potential was developed by Mishin, 2004 and hardened by Samolyuk et al., 2016, and the Zr potential was developed and hardened by Mendelev et al., 2007. Before simulating displacement cascades, systems were thermalized using canonical MD at 100K using velocity scaler as implemented in DYMOKA for 3ps with time step of 1fs. Once the system was equilibrated, displacement cascades were initiated in the microcanonical ensemble from different snapshots of the thermalization trajectory for up to 50ps. A single atom was selected as the PKA and assigned a kinetic energy of 80keV. The directions of the initial velocity were chosen to represent a statistically reasonable average behavior, following the approach described in Stoller et al., 1997. The timestep was dynamically adjusted between 0.005fs and 1fs during the simulations to ensure accurate energy conservation throughout the cascade events.
DOI: 10.17632/x543g8r5sz.1
title: Cascades_ni_fenicr_zr

description: Final structures for Ni, FeNiCr and Zr 80 keV displacement cascades:

All classical molecular dynamics simulations were performed using the DYMOKA code (Becquart et al., 1997). The simulation box size was adapted according to the PKA energy to avoid any interaction between replicated image, as periodic boundary conditions were applied in all directions during the simulations. Since this study focuses exclusively on a PKA energy of 80 keV, the box dimensions were set to 98x98x98 unit cells (3764768 atoms) for both FeNiCr and Ni fcc materials, and to 122x152x76 unit cells (2818688 atoms) for hcp Zr. 
For the simulations, the empirical interaction potentials used were derived using the Embedded Atom Method (EAM) approach. The FeNiCr potential was originally derived by Bonny et al., 2011 and hardened by Beland et al., 2017, the Ni potential was developed by Mishin, 2004 and hardened by Samolyuk et al., 2016, and the Zr potential was developed and hardened by Mendelev et al., 2007. Before simulating displacement cascades, systems were thermalized using canonical MD at 100K using velocity scaler as implemented in DYMOKA for 3ps with time step of 1fs. Once the system was equilibrated, displacement cascades were initiated in the microcanonical ensemble from different snapshots of the thermalization trajectory for up to 50ps. A single atom was selected as the PKA and assigned a kinetic energy of 80keV. The directions of the initial velocity were chosen to represent a statistically reasonable average behavior, following the approach described in Stoller et al., 1997. The timestep was dynamically adjusted between 0.005fs and 1fs during the simulations to ensure accurate energy conservation throughout the cascade events.
DOI: 10.17632/h6x2gt68kj
title: Jingchao Zhou & Tao Liu's original data20250908

description: Jingchao Zhou & Tao Liu's original data
This dataset provides a multifaceted characterization of soil organic carbon (SOC) across multiple soil samples, encompassing a wide range of biogeochemical indicators. The data were collected to support research on soil carbon dynamics, microbial community function, and the molecular composition of organic carbon in tea plantation soils. The dataset includes quantitative measurements of SOC content and stock, carbon functional groups determined by nuclear magnetic resonance (NMR) spectroscopy, microbial biomass indicators via phospholipid fatty acids (PLFAs), extracellular enzyme activities, amino sugars, lignin-derived phenolic compounds, and related biogeochemical parameters.
Key Variables Included:
SOC Content (g kg⁻¹): Soil organic carbon concentration per unit mass.
SOC Stock (kg m⁻²): Soil organic carbon stock per unit area.
NMR-Based Carbon Fractions (%):
Alkyl-C (0–45 ppm)
O-Alkyl-C (45–110 ppm)
Aromatic-C (110–160 ppm)
Carbonyl-C (160–220 ppm)
Microbial Biomarkers (nmol g⁻¹):
Total PLFAs (T-PLFAs)
Bacterial PLFAs (B-PLFAs)
Fungal PLFAs (F-PLFAs)
Enzyme Activities (μmol min⁻¹):
Cellobiose Hydrolase
β-Glucosidase
Amino Sugars (g kg⁻¹):
Glucosamine
Mannosamine
Galactosamine
Muramic Acid
Total Amino Sugars
Nitrogen Components (g kg⁻¹):
Fungal Necromass Carbon (FNC)
Bacterial Necromass Carbon (BNC)
Total Microbial Necromass Carbon (MNC)
Lignin Phenolics (g kg⁻¹):
Vanillin
Ethyl Vanillin Ketone
Syringaldehyde
Vanillic Acid
Syringone
Syringic Acid
p-Coumaric Acid
Ferulic Acid
Total Lignin Phenols
Lignin Parameters:
S, V, C (g kg⁻¹)
(Ad/Al)S and (Ad/Al)V (acid-to-aldehyde ratios for syringyl and vanillyl units)
Plant-Derived Carbon (PDC, g kg⁻¹)
Sample Identification:
Samples are labeled as FD-1, FD-2, FD-3, CN-1, CN-2, CN-3, CM217-1, CM217-2, CM217-3, CC3-1, CC3-2, CC3-3, suggesting soils of different tea varieties (e.g., forest, cropland, managed plots).
Potential Applications:
Studying soil carbon sequestration mechanisms
Linking microbial community structure to carbon cycling
Assessing organic matter stability and decomposition
Modeling carbon turnover in soils

Methods:
Data were generated using standardized protocols including:
Elemental analysis for SOC
¹³C NMR for carbon speciation
PLFA extraction and GC analysis for microbial biomass
Fluorometric assays for enzyme activities
GC-MS for lignin phenolics and amino sugars
Quality Control:
Replicates are included for each sample type (e.g., triplicates for CN, CM217, CC3), ensuring robustness and reproducibility.
Usage Notes:
This dataset is suitable for researchers in soil science, biogeochemistry, ecology, and environmental science. It can be used for meta-analysis, model validation, or as a reference for similar soil types.
File Format:
Microsoft Excel (.xlsx) with one sheet (Sheet1) containing all data in a structured tabular format.
DOI: 10.17632/h6x2gt68kj.1
title: Jingchao Zhou & Tao Liu's original data20250908

description: Jingchao Zhou & Tao Liu's original data
This dataset provides a multifaceted characterization of soil organic carbon (SOC) across multiple soil samples, encompassing a wide range of biogeochemical indicators. The data were collected to support research on soil carbon dynamics, microbial community function, and the molecular composition of organic carbon in tea plantation soils. The dataset includes quantitative measurements of SOC content and stock, carbon functional groups determined by nuclear magnetic resonance (NMR) spectroscopy, microbial biomass indicators via phospholipid fatty acids (PLFAs), extracellular enzyme activities, amino sugars, lignin-derived phenolic compounds, and related biogeochemical parameters.
Key Variables Included:
SOC Content (g kg⁻¹): Soil organic carbon concentration per unit mass.
SOC Stock (kg m⁻²): Soil organic carbon stock per unit area.
NMR-Based Carbon Fractions (%):
Alkyl-C (0–45 ppm)
O-Alkyl-C (45–110 ppm)
Aromatic-C (110–160 ppm)
Carbonyl-C (160–220 ppm)
Microbial Biomarkers (nmol g⁻¹):
Total PLFAs (T-PLFAs)
Bacterial PLFAs (B-PLFAs)
Fungal PLFAs (F-PLFAs)
Enzyme Activities (μmol min⁻¹):
Cellobiose Hydrolase
β-Glucosidase
Amino Sugars (g kg⁻¹):
Glucosamine
Mannosamine
Galactosamine
Muramic Acid
Total Amino Sugars
Nitrogen Components (g kg⁻¹):
Fungal Necromass Carbon (FNC)
Bacterial Necromass Carbon (BNC)
Total Microbial Necromass Carbon (MNC)
Lignin Phenolics (g kg⁻¹):
Vanillin
Ethyl Vanillin Ketone
Syringaldehyde
Vanillic Acid
Syringone
Syringic Acid
p-Coumaric Acid
Ferulic Acid
Total Lignin Phenols
Lignin Parameters:
S, V, C (g kg⁻¹)
(Ad/Al)S and (Ad/Al)V (acid-to-aldehyde ratios for syringyl and vanillyl units)
Plant-Derived Carbon (PDC, g kg⁻¹)
Sample Identification:
Samples are labeled as FD-1, FD-2, FD-3, CN-1, CN-2, CN-3, CM217-1, CM217-2, CM217-3, CC3-1, CC3-2, CC3-3, suggesting soils of different tea varieties (e.g., forest, cropland, managed plots).
Potential Applications:
Studying soil carbon sequestration mechanisms
Linking microbial community structure to carbon cycling
Assessing organic matter stability and decomposition
Modeling carbon turnover in soils

Methods:
Data were generated using standardized protocols including:
Elemental analysis for SOC
¹³C NMR for carbon speciation
PLFA extraction and GC analysis for microbial biomass
Fluorometric assays for enzyme activities
GC-MS for lignin phenolics and amino sugars
Quality Control:
Replicates are included for each sample type (e.g., triplicates for CN, CM217, CC3), ensuring robustness and reproducibility.
Usage Notes:
This dataset is suitable for researchers in soil science, biogeochemistry, ecology, and environmental science. It can be used for meta-analysis, model validation, or as a reference for similar soil types.
File Format:
Microsoft Excel (.xlsx) with one sheet (Sheet1) containing all data in a structured tabular format.
DOI: 10.17632/crd47v9vht
title: Data for article entitled "Fractionation of amphibole as an endogenic oxidizer in continental arc magmas"

description: Table 1 Iron isotopic compositions of whole-rock samples, amphibole separates and geostandards (‰).
Table S1 Lithology and modal mineralogy of the Milin samples.
Table S2 Whole-rock major compositions (wt.%) and some trace element ratios of the Milin samples.
Table S3 Major compositions of amphiboles from the Milin samples determined by EPMA (wt.%) and corresponding temperatures.
Table S4 Magnesium isotopic compositions of whole-rock samples and geostandards (‰).
Table S5 Quantitative modelling of Fe isotopic evolution of the Gangdese non-cumulate suite.
DOI: 10.17632/crd47v9vht.4
title: Data for article entitled "Fractionation of amphibole as an endogenic oxidizer in continental arc magmas"

description: Table 1 Iron isotopic compositions of whole-rock samples, amphibole separates and geostandards (‰).
Table S1 Lithology and modal mineralogy of the Milin samples.
Table S2 Whole-rock major compositions (wt.%) and some trace element ratios of the Milin samples.
Table S3 Major compositions of amphiboles from the Milin samples determined by EPMA (wt.%) and corresponding temperatures.
Table S4 Magnesium isotopic compositions of whole-rock samples and geostandards (‰).
Table S5 Quantitative modelling of Fe isotopic evolution of the Gangdese non-cumulate suite.
DOI: 10.15468/dl.sajzu2
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiliophyllum densifolium"
 ]
}

 The dataset includes 47 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050453-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.