cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.56a4rc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alluroteuthis antarcticus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008018-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kzytwn7n6d
title: R Code for the Analysis of Associations Between Late-night Eating, Nighttime Dietary Intake, and Depressive Symptoms Among Adults in the United States (NHANES 2007–2018)

description: The R scripts included in this dataset perform the following tasks:

• Data cleaning and merging across multiple NHANES cycles
• Construction of nighttime energy and macronutrient variables
• Categorization of nighttime intake levels (e.g., none, moderate, high)
• Survey-weighted logistic regression models
• Subgroup and sensitivity analyses
• Data-driven clustering of nighttime macronutrient composition patterns
• Visualization of results, including forest plots and pattern comparisons
DOI: 10.17632/kzytwn7n6d.4
title: R Code for the Analysis of Associations Between Late-night Eating, Nighttime Dietary Intake, and Depressive Symptoms Among Adults in the United States (NHANES 2007–2018)

description: The R scripts included in this dataset perform the following tasks:

• Data cleaning and merging across multiple NHANES cycles
• Construction of nighttime energy and macronutrient variables
• Categorization of nighttime intake levels (e.g., none, moderate, high)
• Survey-weighted logistic regression models
• Subgroup and sensitivity analyses
• Data-driven clustering of nighttime macronutrient composition patterns
• Visualization of results, including forest plots and pattern comparisons
DOI: 10.15468/dl.jnwgdt
title: Occurrence Download

description: A dataset containing 58945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunella collaris",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Türkiye, Ukraine, Kosovo)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58945 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007985-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/knd3x9wcbx
title: Study on underwater noise characteristics and mechanism of discharge flow from wide-crested weir

description: Figures-2026-1.zip:The original data of the pictures in the paper;
Wavelet transform data.zip:The wavelet analysis data in the paper's figures;
Numerical simulation-H90h50Q75.zip:The reference examples for the numerical simulation part of the paper (based on OpenFOAM).
DOI: 10.17632/knd3x9wcbx.1
title: Study on underwater noise characteristics and mechanism of discharge flow from wide-crested weir

description: Figures-2026-1.zip:The original data of the pictures in the paper;
Wavelet transform data.zip:The wavelet analysis data in the paper's figures;
Numerical simulation-H90h50Q75.zip:The reference examples for the numerical simulation part of the paper (based on OpenFOAM).
DOI: 10.17632/wdd527mgt7.6
title: Innovation-Economic Trade-offs：A Perspective of Low-Carbon Policy Intensity

description: README: Replication Package
Paper Title
Innovation-Economic Trade-offs：A Perspective of Low-Carbon Policy Intensity

This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/xyrnmsmw5d.1
title: Argo data

description: Argo float data (ID 7900893) were used to provide vertical profiles of temperature and salinity along the float trajectory.
DOI: 10.17632/7y7wf9mgsh
title: Supplementary Table 1-4 of Continental weathering and redox dynamics modulated marine phosphorus availability during the Sturtian deglaciation

description: Supplementary Table 1 Bulk-rock major element compositions (wt. %) of samples from the Tongdao, Jiangkou, and Xinyu IFs
Supplementary Table 2 In-situ major element compositions (wt. %) of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by EPMA
Supplementary Table 3 In-situ REY compositions and related geochemical indices of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-ICP-MS
Supplementary Table 4 In-situ Sr isotopes of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-MC-ICP-MS
DOI: 10.17632/7y7wf9mgsh.1
title: Supplementary Table 1-4 of Continental weathering and redox dynamics modulated marine phosphorus availability during the Sturtian deglaciation

description: Supplementary Table 1 Bulk-rock major element compositions (wt. %) of samples from the Tongdao, Jiangkou, and Xinyu IFs
Supplementary Table 2 In-situ major element compositions (wt. %) of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by EPMA
Supplementary Table 3 In-situ REY compositions and related geochemical indices of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-ICP-MS
Supplementary Table 4 In-situ Sr isotopes of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-MC-ICP-MS
DOI: 10.17632/99s836gpn8
title: Association Between Adaptive Coping and Medication Adherence among Patients with Type 2 Diabetes Mellitus

description: This dataset corresponds to the study “Association Between Adaptive Coping and Medication Adherence among Patients with Type 2 Diabetes Mellitus.” It contains anonymized individual-level data collected from adult patients with type 2 diabetes receiving outpatient care. The dataset includes information on sociodemographic characteristics, clinical variables related to diabetes, adaptive coping strategies, and medication adherence. The objective of this dataset is to support the analysis of the association between adaptive coping and medication adherence in patients with type 2 diabetes mellitus, and to allow reproducibility and secondary analyses focused on psychosocial and clinical factors related to treatment adherence.
DOI: 10.17632/99s836gpn8.1
title: Association Between Adaptive Coping and Medication Adherence among Patients with Type 2 Diabetes Mellitus

description: This dataset corresponds to the study “Association Between Adaptive Coping and Medication Adherence among Patients with Type 2 Diabetes Mellitus.” It contains anonymized individual-level data collected from adult patients with type 2 diabetes receiving outpatient care. The dataset includes information on sociodemographic characteristics, clinical variables related to diabetes, adaptive coping strategies, and medication adherence. The objective of this dataset is to support the analysis of the association between adaptive coping and medication adherence in patients with type 2 diabetes mellitus, and to allow reproducibility and secondary analyses focused on psychosocial and clinical factors related to treatment adherence.
DOI: 10.17632/mn7w6s48xr
title: Soil Chemical Properties in Zeya Nature Reserves of Russian Far East

description: Boreal forests are the largest forest biome and terrestrial carbon sink on Earth, and their soils play an important role in the global carbon cycle. In this study, we characterized the chemical properties of soil organic matter (SOM) from diverse plant communities along an elevation gradient in intact and fire-disturbed vegetation in the Russian Far East using elemental analysis, tetramethylammonium hydroxide pyrolysis–gas chromatography–mass spectrometry, total organic carbon analysis, ultraviolet–visible spectrophotometry, and fluorescence spectroscopy. Among intact samples, the SOM properties varied greatly depending on the vegetation type. In particular, samples from the intact alpine zone indicated that the SOM properties was influenced by the long-term input of grass litter. However, disturbances from wildfires were found to obscure differences in the SOM properties of different plant communities. The differences in SOM properties due to vegetation succession after a wildfire remained for a long period of time even after vegetation recovery had progressed and few traces of the fire were visible.
The purpose of this study was to clarify the chemical properties of SOM (soil organic matter) and WSOM (water-soluble SOM) in intact and fire-affected boreal forests of Far East Russia. Soil samples from diverse plant communities were collected along an elevation gradient in Zeya State Nature Reserve. The SOM properties were characterized for the different plant communities from the montane forest to alpine zones of an intact mountain. Then, the SOM properties of intact and fire-affected sites were compared to analyze the changes in vegetation associated with a fire disturbance and their effects on the SOM quantity and quality over time.
DOI: 10.17632/mn7w6s48xr.1
title: Soil Chemical Properties in Zeya Nature Reserves of Russian Far East

description: Boreal forests are the largest forest biome and terrestrial carbon sink on Earth, and their soils play an important role in the global carbon cycle. In this study, we characterized the chemical properties of soil organic matter (SOM) from diverse plant communities along an elevation gradient in intact and fire-disturbed vegetation in the Russian Far East using elemental analysis, tetramethylammonium hydroxide pyrolysis–gas chromatography–mass spectrometry, total organic carbon analysis, ultraviolet–visible spectrophotometry, and fluorescence spectroscopy. Among intact samples, the SOM properties varied greatly depending on the vegetation type. In particular, samples from the intact alpine zone indicated that the SOM properties was influenced by the long-term input of grass litter. However, disturbances from wildfires were found to obscure differences in the SOM properties of different plant communities. The differences in SOM properties due to vegetation succession after a wildfire remained for a long period of time even after vegetation recovery had progressed and few traces of the fire were visible.
The purpose of this study was to clarify the chemical properties of SOM (soil organic matter) and WSOM (water-soluble SOM) in intact and fire-affected boreal forests of Far East Russia. Soil samples from diverse plant communities were collected along an elevation gradient in Zeya State Nature Reserve. The SOM properties were characterized for the different plant communities from the montane forest to alpine zones of an intact mountain. Then, the SOM properties of intact and fire-affected sites were compared to analyze the changes in vegetation associated with a fire disturbance and their effects on the SOM quantity and quality over time.
DOI: 10.17632/ysrc5v9pxw
title: Dataset for "Calcite-mediated uranium isotope fractionation and U(IV) sequestration during U(VI) reduction by sulfide"

description: Experimental dataset for U(VI)–S²⁻ redox reactions in calcite suspension, pure solution, and control systems.
DOI: 10.17632/ysrc5v9pxw.1
title: Dataset for "Calcite-mediated uranium isotope fractionation and U(IV) sequestration during U(VI) reduction by sulfide"

description: Experimental dataset for U(VI)–S²⁻ redox reactions in calcite suspension, pure solution, and control systems.
DOI: 10.17632/g7pvwbsjdh
title: Provenance investigation of lake deposits from contrasting altitudinal zones in a multi-factor driven small mountainous catchment, Hengduan Mountain Region, Southwest China

description: The dataset of this study aims to reveal the contribution characteristics of different vertical zones to sediment sources within the Ezhang River catchment in the Hengduan Mountains. Sampling sites were distributed across the basin, and the dataset consists of two major categories: surface soil data and lake core sediment data. Specifically, the Sediment Source dataset contains 65 sample groups, with each group comprising an identification code, sample name, land-use type, elevation, and concentration data of 20 elements. In contrast, the Lake Core dataset was derived from one single borehole and includes 81 data groups, where each group covers depth, mean depth, excess lead-210 (²¹⁰Pbₑₓ), cesium-137 (¹³⁷Cs), sedimentary year, and concentration data of 20 elements.
DOI: 10.17632/g7pvwbsjdh.1
title: Provenance investigation of lake deposits from contrasting altitudinal zones in a multi-factor driven small mountainous catchment, Hengduan Mountain Region, Southwest China

description: The dataset of this study aims to reveal the contribution characteristics of different vertical zones to sediment sources within the Ezhang River catchment in the Hengduan Mountains. Sampling sites were distributed across the basin, and the dataset consists of two major categories: surface soil data and lake core sediment data. Specifically, the Sediment Source dataset contains 65 sample groups, with each group comprising an identification code, sample name, land-use type, elevation, and concentration data of 20 elements. In contrast, the Lake Core dataset was derived from one single borehole and includes 81 data groups, where each group covers depth, mean depth, excess lead-210 (²¹⁰Pbₑₓ), cesium-137 (¹³⁷Cs), sedimentary year, and concentration data of 20 elements.
DOI: 10.17632/32hx98rhhp
title: Magmatic volatile influx promotes Cu mineralization in volcanogenic massive sulfide deposit recorded by Fe3+-rich chlorite and Hg isotopes

description: Electronic Appendix I Locations of samples collected for Hg isotope, chlorite EPMA, LA-ICP-MS, and µXANES analyses
Electronic Appendix II The EPMA data of chlorite from the Ashele deposit
Electronic Appendix III LA-ICP-MS method
Electronic Appendix IV LA-ICP-MS reference data
Electronic Appendix V The LA-ICP-MS data of chlorite from the Ashele deposit
Electronic Appendix VI chlorite EXAFS data
Electronic Appendix VII Hg contents (ppm) and Hg isotopic compositions (‰) of the samples associated with the Ashele VMS deposit
DOI: 10.17632/32hx98rhhp.1
title: Magmatic volatile influx promotes Cu mineralization in volcanogenic massive sulfide deposit recorded by Fe3+-rich chlorite and Hg isotopes

description: Electronic Appendix I Locations of samples collected for Hg isotope, chlorite EPMA, LA-ICP-MS, and µXANES analyses
Electronic Appendix II The EPMA data of chlorite from the Ashele deposit
Electronic Appendix III LA-ICP-MS method
Electronic Appendix IV LA-ICP-MS reference data
Electronic Appendix V The LA-ICP-MS data of chlorite from the Ashele deposit
Electronic Appendix VI chlorite EXAFS data
Electronic Appendix VII Hg contents (ppm) and Hg isotopic compositions (‰) of the samples associated with the Ashele VMS deposit
DOI: 10.17632/nb859kjyp5
title: Surface Display of Multicopper Oxidase from Paenibacillus sp. F-9 for Efficient and Stable Manganese Removal

description: The raw data and plasmid maps generated for the research paper titled "Surface Display of Multicopper Oxidase from Paenibacillus sp. F-9 for Efficient and Stable Manganese Removal" are provided here.
DOI: 10.17632/nb859kjyp5.1
title: Surface Display of Multicopper Oxidase from Paenibacillus sp. F-9 for Efficient and Stable Manganese Removal

description: The raw data and plasmid maps generated for the research paper titled "Surface Display of Multicopper Oxidase from Paenibacillus sp. F-9 for Efficient and Stable Manganese Removal" are provided here.
DOI: 10.15468/dl.psbk3h
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dichosciadium ranunculaceum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 175 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008019-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jfppmn6j9t
title: dual peer effect

description: see readme file for details of this dataset and code
DOI: 10.17632/jfppmn6j9t.1
title: dual peer effect

description: see readme file for details of this dataset and code
DOI: 10.17632/nk94vxbpk7
title: Expression data from major metabolic organs of C57BL/6J mice and MIN6 cells maintained on normal or stressed conditions

description: We studied the novel mechanism of ER quality control, ER homeostasis maintenance and functional plasticity in pancreatic β-cells to increase systemic glucose homeostasis against progression of type 2 diabetes. In RNA-Seq dataset, we provided islets' RNA-Seq for C57BL/6J wildtype mice on 2-month high-fat diet and on normal chow diet; we also provided 10 different metabolic tissues' RNA-Seq for C57BL/6J wildtype mice on normal chow diet. In proteomics dataset, we provided proteomic analysis on MIN6 cells and supernatant on normal and stressed culturing conditions; we also provided islets' proteomic analysis for C57BL/6J wildtype mice on 2-month high-fat diet and on normal chow diet; we also provided proteomic analysis for DNA-pull down-protein complex from HEK293T cells; we also provided proteomic analysis for streptavidin pulldown proteins from MIN6 cells BioID. In CUT&Tag-Seq dataset, we provided MAZ CUT&Tag on HEK293T cells. Original computational code for image processing were deposited in this dataset. All the algorithms were implemented with OpenCV and Numpy library in Python.
DOI: 10.17632/nk94vxbpk7.1
title: Expression data from major metabolic organs of C57BL/6J mice and MIN6 cells maintained on normal or stressed conditions

description: We studied the novel mechanism of ER quality control, ER homeostasis maintenance and functional plasticity in pancreatic β-cells to increase systemic glucose homeostasis against progression of type 2 diabetes. In RNA-Seq dataset, we provided islets' RNA-Seq for C57BL/6J wildtype mice on 2-month high-fat diet and on normal chow diet; we also provided 10 different metabolic tissues' RNA-Seq for C57BL/6J wildtype mice on normal chow diet. In proteomics dataset, we provided proteomic analysis on MIN6 cells and supernatant on normal and stressed culturing conditions; we also provided islets' proteomic analysis for C57BL/6J wildtype mice on 2-month high-fat diet and on normal chow diet; we also provided proteomic analysis for DNA-pull down-protein complex from HEK293T cells; we also provided proteomic analysis for streptavidin pulldown proteins from MIN6 cells BioID. In CUT&Tag-Seq dataset, we provided MAZ CUT&Tag on HEK293T cells. Original computational code for image processing were deposited in this dataset. All the algorithms were implemented with OpenCV and Numpy library in Python.
DOI: 10.17632/8xdwjwn8pc
title: Environmental protection is not only outdoors but also on the plate: The impact of connectedness to nature on sustainable diets

description: This dataset examines relationships among connectedness to nature, prosocial tendencies, and sustainable diets in Chinese college students. Data derive from two independent studies. Study 1 employed a cross-sectional questionnaire (N = 324) that included a self-developed "Sustainable Diets Scale," the Connectedness to Nature Scale, and the Prosocial Tendencies Scale. Study 2 was a behavioral experiment (N = 162) that recorded vegetarian choices, clean-plate behavior, and use of green tableware. The dataset contains original questionnaire responses, behavioral coding files, statistical result tables, and associated analysis scripts. Potential uses include validating theoretical models of sustainable diets, conducting cross-cultural comparisons, designing behavioral interventions, and supporting teaching or empirical research in environmental psychology and health behavior.
DOI: 10.17632/8xdwjwn8pc.1
title: Environmental protection is not only outdoors but also on the plate: The impact of connectedness to nature on sustainable diets

description: This dataset examines relationships among connectedness to nature, prosocial tendencies, and sustainable diets in Chinese college students. Data derive from two independent studies. Study 1 employed a cross-sectional questionnaire (N = 324) that included a self-developed "Sustainable Diets Scale," the Connectedness to Nature Scale, and the Prosocial Tendencies Scale. Study 2 was a behavioral experiment (N = 162) that recorded vegetarian choices, clean-plate behavior, and use of green tableware. The dataset contains original questionnaire responses, behavioral coding files, statistical result tables, and associated analysis scripts. Potential uses include validating theoretical models of sustainable diets, conducting cross-cultural comparisons, designing behavioral interventions, and supporting teaching or empirical research in environmental psychology and health behavior.
DOI: 10.17632/5ww3zv87y7
title: Predictive maintenance dataset

description: The AI4I 2020 Predictive Maintenance Dataset is a synthetic industrial dataset designed to support research and development in predictive maintenance using machine learning. It simulates realistic operational conditions of industrial machinery, enabling failure prediction when real-world industrial data is unavailable due to privacy or cost constraints.

The dataset was created for benchmarking predictive maintenance algorithms and is publicly available through the UCI Machine Learning Repository.

It contains approximately 10,000 observations, each representing a machine operating instance. The dataset includes process parameters, operational conditions, and failure information, making it suitable for binary and multi-class classification tasks.

Key operational features include air temperature, process temperature, rotational speed, torque, and tool wear, along with product quality categories. The primary target variable, Machine failure, indicates whether a failure occurred. Additionally, the dataset provides labels for five specific failure modes:

Tool Wear Failure (TWF)

Heat Dissipation Failure (HDF)

Power Failure (PWF)

Overstrain Failure (OSF)

Random Failure (RNF)

A machine is considered failed if any one of these failure modes occurs.

Although synthetic, the dataset is structured to closely resemble real industrial sensor data and is widely used for:

Predictive maintenance modeling

Failure detection and classification

Feature importance and explainable AI (XAI) studies

Benchmarking machine learning algorithms

Because of its clean structure and labeled failure modes, the AI4I 2020 dataset is especially useful for educational purposes, academic research, and baseline model evaluation in predictive maintenance applications.