cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kj3h7x
title: Occurrence Download

description: A dataset containing 1316629 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Quoddy Region Pelagics Telemetry"
 ]
}

 The dataset includes 1316629 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012474-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30194302.v3
title: Supplementary Material - Phylogenomic framework and virulence gene boundaries of emerging Shiga toxin-producing <i>Escherichia coli</i> O118 informed by the comprehensive profiling of 359 O118 genomes.

description: Supplementary Material - Phylogenomic framework and virulence gene boundaries of emerging Shiga toxin-producing <i>Escherichia coli</i> O118 informed by the comprehensive profiling of 359 O118 genomes.
DOI: 10.71819/mdhmr2
title: Coleção de Isoptera do MZUSP

description: A coleção de Isoptera do Museu de Zoologia da USP (MZUSP) é considerada a mais importante do Brasil. Iniciada nos anos 40 com os esforços de Renato L. Araujo, falecido em 1978, desde então, continua crescendo, com os projetos da curadora, Dra. Eliana Marques Cancello e seus alunos, além da colaboração dos principais especialistas brasileiros e de alguns colegas de várias partes do mundo.

A coleção é uma das melhores do mundo quanto à representação da Região Neotropical, ainda que não seja a depositária da maior parte dos tipos das espécies neotropicais. Conta com amostras de todos os gêneros descritos dessa região, mais todos os da Paleártica e da Neártica, além de algum material das Regiões Oriental, Australiana e Etiópica. Todos os biomas brasileiros estão representados, porém de modo não uniforme.

O expressivo crescimento da coleção se deve também aos vários auxílios da FAPESP, sendo o mais importante o projeto do Programa Biota/Fapesp “Riqueza e Diversidade de Hymenoptera e Isoptera ao Longo de um Gradiente Latitudinal na Mata Atlântica” (1999-2005). Nos últimos anos, destacam-se ainda os levantamentos nas áreas das Usinas Hidroelétricas de (UHE) de Jirau e Santo Antônio, em Rondônia, na região do alto Rio Madeira, realizados entre 2010 e 2012, matéria de tese de doutorado de Tiago F. Carrijo e de dissertação de mestrado de Rafaella G. Santos. Destas localidades foram incluídas na coleção 6179 amostras,

Outro incremento recente para a reorganização da coleção foi a presença de bolsistas de aperfeiçoamento técnico de nível superior dentro do projeto “Contribuição à taxonomia de Termitidae (Insecta: Isoptera) e curadoria dos ortopteróides da coleção do Museu de Zoologia da USP (MZUSP)”, aprovado no Edital CNPq/Protax- Programa de Capacitação em Taxonomia (novembro de 2010 a nov. 2014, Proc. 562256/2010-5). Com tal colaboração as informações da coleção vêm sendo incluídas num banco de dados informatizado – Sophia – e conta com 4400 registros incluídos, neste início de 2015. Os dados de campo, como por exemplo, anotações sobre locais de coletas, ou sobre os ninhos, inquilinos (outras espécies de cupins e/ou diversos artrópodes encontrados juntos no mesmo ninho), além de fotos também serão incluídos no banco de dados.

A coleção conta com cerca de 24000 amostras tombadas. Neste acervo há 82 holótipos, um neótipo, três lotes de síntipos e 124 lotes de parátipos. Cerca de 3000 lotes aguardam registro para serem incluídos na coleção. A maioria das amostras é conservada em álcool 80%. Entretanto, já há uma razoável quantidade de material fixado em álcool 96%, propiciando estudos com dados moleculares que estão sendo realizados pela equipe deste laboratório.

Acondicionada em armários compactadores, a coleção é mantida em ótimo estado de conservação, por técnicos da equipe do MZUSP, além de bolsistas, como os mencionados acima, que auxiliam nos serviços básicos de curadoria técnica, sempre com supervisão da curadora.

Há ainda uma preocupação de ampliar a cobertura deste acervo com amostras de outras regiões do mundo.
DOI: 10.17632/8g972zcyn8
title: USP DC 2020

description: "An up-to-date and well-established classification resource can assist stakeholders in managing their drug formulary more efficiently. USP, a non-profit organization develops public compendial quality standards and solutions, including two drug classification systems: the Medicare Model Guidelines (MMG) for Part D plans and USP Drug Classification (USP DC) for non-part D plans. "
https://www.usp.org/health-quality-safety/usp-drug-classification-system#:~:text=The%20freely%20accessible%20version%20of,USP%20Drug%20Classification%20PLUS
DOI: 10.17632/8g972zcyn8.1
title: USP DC 2020

description: "An up-to-date and well-established classification resource can assist stakeholders in managing their drug formulary more efficiently. USP, a non-profit organization develops public compendial quality standards and solutions, including two drug classification systems: the Medicare Model Guidelines (MMG) for Part D plans and USP Drug Classification (USP DC) for non-part D plans. "
https://www.usp.org/health-quality-safety/usp-drug-classification-system#:~:text=The%20freely%20accessible%20version%20of,USP%20Drug%20Classification%20PLUS
DOI: 10.17632/7w4sdjnsg8
title: Supplementary Tables for article " Influence of saline springs on river water chemistry: a K isotope perspective"

description: This dataset supports the hydrogeochemical investigation of river water and saline springs in the Jinggu catchment, Southwest China. The data provide comprehensive geochemical and isotopic measurements used to trace solute sources, quantify water-rock interaction, and model the impact of saline inputs on riverine potassium isotope signatures.

The dataset includes four structured tables:

Table S1: Sampling locations, major ion concentrations, and potassium isotope compositions
Contains field sampling details, concentrations of major ions (e.g., Na⁺, K⁺, Ca²⁺, Mg²⁺, Cl⁻, SO₄²⁻, HCO₃⁻), and measured potassium isotope compositions (δ⁴¹K) for all river water and saline spring samples. This table serves as the foundational geochemical dataset for the study.

Table S2: Hydrogen and oxygen isotope compositions (δ²H and δ¹⁸O) of selected samples
Reports stable water isotope data for a subset of river water and saline spring samples. These data are used to identify water origins, evaporation effects, and mixing processes within the catchment.

Table S3: Measured and atmosphere-corrected potassium isotope compositions (δ⁴¹K)
Provides both raw and atmosphere-corrected δ⁴¹K values for all samples, enabling accurate interpretation of potassium cycling and silicate weathering by removing atmospheric deposition influences.

Table S4: Modeled shifts in riverine δ⁴¹K values as a function of saline spring input fractions
Presents quantitative model outputs illustrating how riverine δ⁴¹K values respond to varying proportions of saline spring contribution. This table directly supports the interpretation of potassium isotope variability and saline water mixing in the catchment.

Scientific Relevance:
Collectively, these tables offer a systematic geochemical and isotopic framework for studying solute origin, weathering intensity, and fluid mixing in a catchment influenced by saline groundwater discharge. The dataset is valuable for researchers in hydrogeochemistry, isotope hydrology, low-temperature geochemistry, and environmental modeling.
DOI: 10.17632/7w4sdjnsg8.1
title: Supplementary Tables for article " Influence of saline springs on river water chemistry: a K isotope perspective"

description: This dataset supports the hydrogeochemical investigation of river water and saline springs in the Jinggu catchment, Southwest China. The data provide comprehensive geochemical and isotopic measurements used to trace solute sources, quantify water-rock interaction, and model the impact of saline inputs on riverine potassium isotope signatures.

The dataset includes four structured tables:

Table S1: Sampling locations, major ion concentrations, and potassium isotope compositions
Contains field sampling details, concentrations of major ions (e.g., Na⁺, K⁺, Ca²⁺, Mg²⁺, Cl⁻, SO₄²⁻, HCO₃⁻), and measured potassium isotope compositions (δ⁴¹K) for all river water and saline spring samples. This table serves as the foundational geochemical dataset for the study.

Table S2: Hydrogen and oxygen isotope compositions (δ²H and δ¹⁸O) of selected samples
Reports stable water isotope data for a subset of river water and saline spring samples. These data are used to identify water origins, evaporation effects, and mixing processes within the catchment.

Table S3: Measured and atmosphere-corrected potassium isotope compositions (δ⁴¹K)
Provides both raw and atmosphere-corrected δ⁴¹K values for all samples, enabling accurate interpretation of potassium cycling and silicate weathering by removing atmospheric deposition influences.

Table S4: Modeled shifts in riverine δ⁴¹K values as a function of saline spring input fractions
Presents quantitative model outputs illustrating how riverine δ⁴¹K values respond to varying proportions of saline spring contribution. This table directly supports the interpretation of potassium isotope variability and saline water mixing in the catchment.

Scientific Relevance:
Collectively, these tables offer a systematic geochemical and isotopic framework for studying solute origin, weathering intensity, and fluid mixing in a catchment influenced by saline groundwater discharge. The dataset is valuable for researchers in hydrogeochemistry, isotope hydrology, low-temperature geochemistry, and environmental modeling.
DOI: 10.17632/nfmgn8v7vz
title: Dataset for: Myricetin as a Radioprotective Biomodifier for Irradiated Human Root Dentin: Implications for Restorative Care in Head and Neck Oncology

description: This dataset was generated to test the hypothesis that ionizing radiation, as used in head and neck cancer radiotherapy, compromises the mechanical, enzymatic, and adhesive properties of human root dentin, and that myricetin (MYR), a naturally occurring flavonoid, can mitigate these deleterious effects through antioxidant, anti–matrix metalloproteinase (MMP), and collagen-stabilizing mechanisms.

The dataset includes quantitative measurements obtained from an in vitro experimental model using human third molars. Root dentin specimens were allocated to non-irradiated controls or irradiated groups exposed to single cumulative doses of 20, 40, or 60 Gy. For each radiation condition, samples were evaluated either without treatment or after application of 600 µM myricetin for 120 seconds. Mechanical behavior was assessed by three-point bending tests, providing flexural strength, strain, and elastic modulus values. Enzymatic degradation was evaluated through a fluorometric assay measuring total MMP activity in dentin. Adhesive performance was analyzed using microtensile bond strength testing of resin–dentin interfaces, performed both at 24 hours and after thermocycling, along with failure mode classification.

The data show a clear dose-dependent effect of radiation, characterized by significant reductions in flexural strength, elastic modulus, and microtensile bond strength, accompanied by increased dentin deformation and marked activation of MMPs, particularly at 60 Gy. Myricetin-treated specimens demonstrated partial or complete recovery of biomechanical parameters, significant suppression of MMP activity, and preservation of adhesive performance comparable to non-irradiated controls, even after aging. Failure mode distributions shifted toward cohesive failures within the resin in myricetin-treated groups, indicating improved interfacial integrity.

All raw data are provided in spreadsheet format, organized by experimental group and outcome variable, allowing independent statistical reanalysis or secondary use. This dataset can be used to explore radiation-induced alterations in dentin biomechanics, enzymatic activity, and adhesion, as well as to support the development and validation of biomodification strategies aimed at improving restorative outcomes in irradiated dental tissues.
DOI: 10.17632/nfmgn8v7vz.1
title: Dataset for: Myricetin as a Radioprotective Biomodifier for Irradiated Human Root Dentin: Implications for Restorative Care in Head and Neck Oncology

description: This dataset was generated to test the hypothesis that ionizing radiation, as used in head and neck cancer radiotherapy, compromises the mechanical, enzymatic, and adhesive properties of human root dentin, and that myricetin (MYR), a naturally occurring flavonoid, can mitigate these deleterious effects through antioxidant, anti–matrix metalloproteinase (MMP), and collagen-stabilizing mechanisms.

The dataset includes quantitative measurements obtained from an in vitro experimental model using human third molars. Root dentin specimens were allocated to non-irradiated controls or irradiated groups exposed to single cumulative doses of 20, 40, or 60 Gy. For each radiation condition, samples were evaluated either without treatment or after application of 600 µM myricetin for 120 seconds. Mechanical behavior was assessed by three-point bending tests, providing flexural strength, strain, and elastic modulus values. Enzymatic degradation was evaluated through a fluorometric assay measuring total MMP activity in dentin. Adhesive performance was analyzed using microtensile bond strength testing of resin–dentin interfaces, performed both at 24 hours and after thermocycling, along with failure mode classification.

The data show a clear dose-dependent effect of radiation, characterized by significant reductions in flexural strength, elastic modulus, and microtensile bond strength, accompanied by increased dentin deformation and marked activation of MMPs, particularly at 60 Gy. Myricetin-treated specimens demonstrated partial or complete recovery of biomechanical parameters, significant suppression of MMP activity, and preservation of adhesive performance comparable to non-irradiated controls, even after aging. Failure mode distributions shifted toward cohesive failures within the resin in myricetin-treated groups, indicating improved interfacial integrity.

All raw data are provided in spreadsheet format, organized by experimental group and outcome variable, allowing independent statistical reanalysis or secondary use. This dataset can be used to explore radiation-induced alterations in dentin biomechanics, enzymatic activity, and adhesion, as well as to support the development and validation of biomodification strategies aimed at improving restorative outcomes in irradiated dental tissues.
DOI: 10.15468/dl.znr7ve
title: Occurrence Download

description: A dataset containing 51862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-85.44987 38.23871,-81.4991 38.23871,-81.4991 39.62888,-85.44987 39.62888,-85.44987 38.23871))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is January",
 "OccurrenceStatus is Present",
 "Year 2022-2022"
 ]
}

 The dataset includes 51862 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012463-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pvf894jzj8
title: Chai-Shen Powder alleviates Perimenopausal syndrome by regulating histamine and norepinephrine via the Synaptic Vesicle Cycle Pathway mediated by DNM1 with machine-learning power

description: Menopause syndrome is a common health issue affecting women. This study combined bioinformatics and machine learning with animal experiments to investigate how the traditional Chinese medicine formula “Chai-Shen Powder” (CSP) works. We found that CSP can modulate a key protein in the brain called DNM1, which helps rebalance two important signaling molecules: histamine and norepinephrine. In animal tests, CSP effectively improved menopause-related symptoms such as disrupted estrous cycles, anxiety-like behaviors and hormonal imbalance. These findings provide new scientific insight into how CSP may alleviate menopausal symptoms.
DOI: 10.17632/pvf894jzj8.1
title: Chai-Shen Powder alleviates Perimenopausal syndrome by regulating histamine and norepinephrine via the Synaptic Vesicle Cycle Pathway mediated by DNM1 with machine-learning power

description: Menopause syndrome is a common health issue affecting women. This study combined bioinformatics and machine learning with animal experiments to investigate how the traditional Chinese medicine formula “Chai-Shen Powder” (CSP) works. We found that CSP can modulate a key protein in the brain called DNM1, which helps rebalance two important signaling molecules: histamine and norepinephrine. In animal tests, CSP effectively improved menopause-related symptoms such as disrupted estrous cycles, anxiety-like behaviors and hormonal imbalance. These findings provide new scientific insight into how CSP may alleviate menopausal symptoms.
DOI: 10.17632/5v459zkn95
title: SWPU-PMA2025: a global surface mass redistribution dataset derived from GRACE L1B data and a modified point‒mass modeling approach

description: Satellite gravity measurement represents a revolutionary breakthrough in geodesy, following the Global Navigation Satellite System (GNSS). Since the implementation of the GRACE gravity satellite program, its onboard high-precision GNSS receivers and micrometer-level inter-satellite microwave ranging systems have been utilized to remotely detect changes in the Earth's gravity field, unaffected by tropospheric and ionospheric delays. This technology has been successfully applied to monitor mass changes worldwide, and has been widely applied in fields such as geodesy, oceanography, hydrology, glaciology, and seismology. Satellite gravity measurement offers numerous advantages, including global data coverage and periodic repeated observations. The observed data exhibit high consistency in both time and space, and are less affected by geographical, political, and cultural constraints. However, current methods for monitoring Earth's mass changes using gravity satellite observations face several challenges. These primarily include the impact of striping noise on time-varying gravity field models, necessitating post-filtering processing. Additionally, enhancing the spatial and temporal resolution of surface mass changes and effectively addressing signal leakage issues remains challenging. Furthermore, post-processing filtering techniques, which can further compromise the model's spatial resolution as well as the amplitude and spatial distribution of true geophysical signals. This study introduces a modified Point-Mass Modeling Approach (PMA) and an adaptive constraint matrix construction method. The modified PMA is designed to establish a direct mathematical relationship between satellite observations and surface mass blocks. The adaptive constraint matrix operates independently of external geophysical inputs and maintains temporal adaptability. It also accounts for long-term ocean mass changes and effectively mitigates land signal leakage issues. Through the analysis of GRACE Level-1B data, we generated a time series based on the PMA model, demonstrating the effectiveness of our approach.
The dataset is provided in NetCDF (.nc) format, with a temporal resolution of one month and a spatial resolution of 0.5°, and the file name is SWPU-PMA_mascon_RL01_2002-2016.nc. It includes the following variables: lon, lat, time and lwe_thickness. Some months contain missing data, which are explicitly indicated within the data file. The dataset is recommended to be opened and read using MATLAB.
DOI: 10.17632/5v459zkn95.2
title: SWPU-PMA2025: a global surface mass redistribution dataset derived from GRACE L1B data and a modified point‒mass modeling approach

description: Satellite gravity measurement represents a revolutionary breakthrough in geodesy, following the Global Navigation Satellite System (GNSS). Since the implementation of the GRACE gravity satellite program, its onboard high-precision GNSS receivers and micrometer-level inter-satellite microwave ranging systems have been utilized to remotely detect changes in the Earth's gravity field, unaffected by tropospheric and ionospheric delays. This technology has been successfully applied to monitor mass changes worldwide, and has been widely applied in fields such as geodesy, oceanography, hydrology, glaciology, and seismology. Satellite gravity measurement offers numerous advantages, including global data coverage and periodic repeated observations. The observed data exhibit high consistency in both time and space, and are less affected by geographical, political, and cultural constraints. However, current methods for monitoring Earth's mass changes using gravity satellite observations face several challenges. These primarily include the impact of striping noise on time-varying gravity field models, necessitating post-filtering processing. Additionally, enhancing the spatial and temporal resolution of surface mass changes and effectively addressing signal leakage issues remains challenging. Furthermore, post-processing filtering techniques, which can further compromise the model's spatial resolution as well as the amplitude and spatial distribution of true geophysical signals. This study introduces a modified Point-Mass Modeling Approach (PMA) and an adaptive constraint matrix construction method. The modified PMA is designed to establish a direct mathematical relationship between satellite observations and surface mass blocks. The adaptive constraint matrix operates independently of external geophysical inputs and maintains temporal adaptability. It also accounts for long-term ocean mass changes and effectively mitigates land signal leakage issues. Through the analysis of GRACE Level-1B data, we generated a time series based on the PMA model, demonstrating the effectiveness of our approach.
The dataset is provided in NetCDF (.nc) format, with a temporal resolution of one month and a spatial resolution of 0.5°, and the file name is SWPU-PMA_mascon_RL01_2002-2016.nc. It includes the following variables: lon, lat, time and lwe_thickness. Some months contain missing data, which are explicitly indicated within the data file. The dataset is recommended to be opened and read using MATLAB.
DOI: 10.15468/dl.z6eqpv
title: Occurrence Download

description: A dataset containing 44600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex acutiformis, Carex acutiformis, Carex paludosa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 44600 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012485-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wyznhdhc37
title: Raw Data-PWang for SPT

description: The raw data generated during experiments or tests include processes, characterizations, etc.
DOI: 10.17632/wyznhdhc37.1
title: Raw Data-PWang for SPT

description: The raw data generated during experiments or tests include processes, characterizations, etc.
DOI: 10.17632/k4z6t6nz7g
title: From Conflict to Creativity: US-China Trade War and Chinese Corporate Innovation

description: This is the replication folder for the paper titled “From Conflict to Creativity: US–China Trade War and Chinese Corporate Innovation”, authored by Jian Du, Xingye Jin, Jing Li, and Xinyi Shen.This version was last updated on February 2, 2026.