cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/g4x8rbwjb4
title: Guduchyadi medhya yoga-An HRLCMS-orbitrap data

description: Background and rationale. Guduchyadi Yoga (GY) is a classical eight-drug Ayurvedic formulation traditionally indicated for cognition. Constituents relevant to cognitive impairment and stress include: Tinospora cordifolia (anti-stress; memory support), Achyranthes aspera (antidepressant-like effects), Embelia ribes/embelin (anticonvulsant/CNS-depressant), Convolvulus pluricaulis (memory/stress benefits), Acorus calamus (CNS activity), Terminalia chebula (in-vitro neuroprotection via ROS-scavenging phenolics/tannins), and Asparagus racemosus (neuroprotection; memory support). Classical Rasapañcaka and medhya (cognitive) indications, together with small clinical observations (e.g., MMSE and HAM-A/HAM-D improvements), motivate systematic chemical profiling and computational evaluation.
Hydro-alcoholic extract (HAE). Solvent: ethanol:water (70:30, v/v; LC–MS grade). Weighed 25.00 g GY into a Type-I glass bottle; added 250 mL solvent (1:10 w/v). Extraction: magnetic stirring 300 rpm at 20–25 °C for 8 h (covered/amber-wrapped), then 16 h static maceration. Clarification: Whatman No. 42 filtration followed by 0.22 µm PTFE filtration. Solvent removal: rotary evaporation at 40 °C (reduced pressure) to near-dryness. The dried extract was transferred to sterile amber vials, yield (%) = (extract mass/25 g)×100, optionally N₂-flushed, and stored at −20 °C, protected from light. For LC–MS, aliquots were reconstituted/diluted and filtered per SOP.
UHPLC–HRMS conditions. Thermo Scientific Vanquish UHPLC (autosampler 4 °C; column oven 40 °C) with RP-C18 column (2.1 × 100 mm, 1.9–2.6 µm). Injection: 5 µL. Total run: 30.0 min at 0.300 mL min⁻¹. Mobile phases: A = water (0.1% formic acid); D = programmed organic channel (B,C = 0%). Gradient (A complements D): 0–2 min, 5% D; 2–15 min, 5→95% D; 15–20 min, 95% D; 21 min, return to 5% D; 21–30 min, re-equilibrate. MS: Q Exactive™ Plus (HESI), Full MS with data-dependent MS² (Top-5), acquired in separate positive/negative runs. Full MS: 70,000 (m/z 200), AGC 1e6, max IT 100 ms; dd-MS²: 17,500, AGC 1e5, max IT 100 ms, isolation 1.5 m/z, stepped NCE 30, dynamic exclusion 10 s. Tune files: Cal_positive_29082024.mstune; Cal_negative_29082024.mstune. Divert Valve A: Start in 1–2 (True).
Data acquisition and processing. Data were acquired in Xcalibur/SII (profile). Sequence: blank → system suitability → three QCs → study samples (QC every 8–10) → final blanks. Autosampler: puncture offset 0 µm; tray 4 °C. Raw files were processed in ⟨software/version⟩ with centroiding; mass error ≤ 5 ppm; minimum peak width 6–8 s; RT alignment 0.2–0.3 min; gap-filling enabled. MS² matches were queried against ⟨mzCloud/MassBank/in-house⟩ at predefined score thresholds. Features with QC RSD &gt; 20% were flagged/excluded unless justified. Putative annotations were reported at MSI Level 2; Level 1 required |Δm| ≤ 5 ppm, RT within ±0.20 min of an authentic standard, and concordant MS² fragments.
DOI: 10.17632/g4x8rbwjb4.1
title: Guduchyadi medhya yoga-An HRLCMS-orbitrap data

description: Background and rationale. Guduchyadi Yoga (GY) is a classical eight-drug Ayurvedic formulation traditionally indicated for cognition. Constituents relevant to cognitive impairment and stress include: Tinospora cordifolia (anti-stress; memory support), Achyranthes aspera (antidepressant-like effects), Embelia ribes/embelin (anticonvulsant/CNS-depressant), Convolvulus pluricaulis (memory/stress benefits), Acorus calamus (CNS activity), Terminalia chebula (in-vitro neuroprotection via ROS-scavenging phenolics/tannins), and Asparagus racemosus (neuroprotection; memory support). Classical Rasapañcaka and medhya (cognitive) indications, together with small clinical observations (e.g., MMSE and HAM-A/HAM-D improvements), motivate systematic chemical profiling and computational evaluation.
Hydro-alcoholic extract (HAE). Solvent: ethanol:water (70:30, v/v; LC–MS grade). Weighed 25.00 g GY into a Type-I glass bottle; added 250 mL solvent (1:10 w/v). Extraction: magnetic stirring 300 rpm at 20–25 °C for 8 h (covered/amber-wrapped), then 16 h static maceration. Clarification: Whatman No. 42 filtration followed by 0.22 µm PTFE filtration. Solvent removal: rotary evaporation at 40 °C (reduced pressure) to near-dryness. The dried extract was transferred to sterile amber vials, yield (%) = (extract mass/25 g)×100, optionally N₂-flushed, and stored at −20 °C, protected from light. For LC–MS, aliquots were reconstituted/diluted and filtered per SOP.
UHPLC–HRMS conditions. Thermo Scientific Vanquish UHPLC (autosampler 4 °C; column oven 40 °C) with RP-C18 column (2.1 × 100 mm, 1.9–2.6 µm). Injection: 5 µL. Total run: 30.0 min at 0.300 mL min⁻¹. Mobile phases: A = water (0.1% formic acid); D = programmed organic channel (B,C = 0%). Gradient (A complements D): 0–2 min, 5% D; 2–15 min, 5→95% D; 15–20 min, 95% D; 21 min, return to 5% D; 21–30 min, re-equilibrate. MS: Q Exactive™ Plus (HESI), Full MS with data-dependent MS² (Top-5), acquired in separate positive/negative runs. Full MS: 70,000 (m/z 200), AGC 1e6, max IT 100 ms; dd-MS²: 17,500, AGC 1e5, max IT 100 ms, isolation 1.5 m/z, stepped NCE 30, dynamic exclusion 10 s. Tune files: Cal_positive_29082024.mstune; Cal_negative_29082024.mstune. Divert Valve A: Start in 1–2 (True).
Data acquisition and processing. Data were acquired in Xcalibur/SII (profile). Sequence: blank → system suitability → three QCs → study samples (QC every 8–10) → final blanks. Autosampler: puncture offset 0 µm; tray 4 °C. Raw files were processed in ⟨software/version⟩ with centroiding; mass error ≤ 5 ppm; minimum peak width 6–8 s; RT alignment 0.2–0.3 min; gap-filling enabled. MS² matches were queried against ⟨mzCloud/MassBank/in-house⟩ at predefined score thresholds. Features with QC RSD &gt; 20% were flagged/excluded unless justified. Putative annotations were reported at MSI Level 2; Level 1 required |Δm| ≤ 5 ppm, RT within ±0.20 min of an authentic standard, and concordant MS² fragments.
DOI: 10.5281/zenodo.17250801
title: The Mediating Role of Interest Rates in the Relationship Between Board Accountability and Perceived View of Non-Performing Loans of Commercial Banks in Western Uganda.
DOI: 10.5281/zenodo.17250800
title: The Mediating Role of Interest Rates in the Relationship Between Board Accountability and Perceived View of Non-Performing Loans of Commercial Banks in Western Uganda.
DOI: 10.17632/byfy57g9d5
title: Tax structure, FDI and Growth

description: README: Replication Package
Paper Title
How Tax Structure Shapes FDI Attractiveness and Economic Growth in Developing Economies?
Authors:
Quang Khai Nguyen
Dinh Long Tran
Date: Oct 1, 2025
DOI: 10.17632/byfy57g9d5.1
title: Tax structure, FDI and Growth

description: README: Replication Package
Paper Title
How Tax Structure Shapes FDI Attractiveness and Economic Growth in Developing Economies?
Authors:
Quang Khai Nguyen
Dinh Long Tran
Date: Oct 1, 2025
DOI: 10.15468/dl.u88guk
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera calderoniae"
 ]
}

 The dataset includes 14 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039856-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ks7r8y6y2d
title: Alerting components in animal vocalisation

description: This dataset contains data and analysis code used in the study of Rock Hyrax (Procavia capensis) vocalisations. 
It covers three complementary components of the project:

1 - Sound Propagation Experiments
Output of controlled playback–recording trials quantifying distance-related spectral degradation of male songs.
Includes propagation data and R scripts for calculating acoustic degradation metrics.

2 -Structural Analysis of Natural Songs
Output of analyses testing the syntactic organisation of natural songs.
Focus on the position of the Wail element and its inclusion or omission depending on receiver attention.

3 - Playback Experiments
Output of behavioural playback trials.
Tests the effect of Wail element presence in male songs on the probability of eliciting a receiver response.

Together, these datasets allow replication of the acoustic, structural, and behavioural analyses described in the associated manuscript.
DOI: 10.17632/ks7r8y6y2d.1
title: Alerting components in animal vocalisation

description: This dataset contains data and analysis code used in the study of Rock Hyrax (Procavia capensis) vocalisations. 
It covers three complementary components of the project:

1 - Sound Propagation Experiments
Output of controlled playback–recording trials quantifying distance-related spectral degradation of male songs.
Includes propagation data and R scripts for calculating acoustic degradation metrics.

2 -Structural Analysis of Natural Songs
Output of analyses testing the syntactic organisation of natural songs.
Focus on the position of the Wail element and its inclusion or omission depending on receiver attention.

3 - Playback Experiments
Output of behavioural playback trials.
Tests the effect of Wail element presence in male songs on the probability of eliciting a receiver response.

Together, these datasets allow replication of the acoustic, structural, and behavioural analyses described in the associated manuscript.
DOI: 10.17632/2ttgsmbvzg
title: China vs USA patents (granted) and relative sectoral strengths

description: This dataset contains patent-based evidence used to analyze the comparative technological advantages of China and the United States. It consists of 279,231 USPTO granted patents distributed across 13 major technological sectors and 137 sub-sectors, linked to 633 firms in 347 cities across 26 countries.

The dataset supports the study Technology-First vs Institution-First Capitalism: Patents, Power, and the US–China Rivalry in Global Innovation, which examines sectoral patterns of innovation through the lens of National Innovation Systems (NIS) and Sectoral Innovation Systems (SIS).

Patents are classified into high-technology (e.g., semiconductors, biopharma, software/AI, defense, solar), medium-technology (e.g., automobiles, aviation, chemicals), and low-technology/resource-based sectors (e.g., transport, services, petroleum/coal, mining).

Geographic coverage: 26 countries (focus on China and the USA)
Sectoral coverage: 13 sectors (high, medium, and low technology)
Unit of analysis: Granted patent (USPTO B1/B2)
Time coverage: Multiple decades of USPTO patent grants

Purpose:
To provide large-scale empirical evidence on sectoral specialization and technological rivalry between China and the USA, reframing debates on the “middle-technology trap” and the role of institutional vs technology-first models of development.

Keywords: US–China technological rivalry; comparative advantage; patents; National Innovation Systems; Sectoral Innovation Systems; global governance of technology
DOI: 10.17632/2ttgsmbvzg.1
title: China vs USA patents (granted) and relative sectoral strengths

description: This dataset contains patent-based evidence used to analyze the comparative technological advantages of China and the United States. It consists of 279,231 USPTO granted patents distributed across 13 major technological sectors and 137 sub-sectors, linked to 633 firms in 347 cities across 26 countries.

The dataset supports the study Technology-First vs Institution-First Capitalism: Patents, Power, and the US–China Rivalry in Global Innovation, which examines sectoral patterns of innovation through the lens of National Innovation Systems (NIS) and Sectoral Innovation Systems (SIS).

Patents are classified into high-technology (e.g., semiconductors, biopharma, software/AI, defense, solar), medium-technology (e.g., automobiles, aviation, chemicals), and low-technology/resource-based sectors (e.g., transport, services, petroleum/coal, mining).

Geographic coverage: 26 countries (focus on China and the USA)
Sectoral coverage: 13 sectors (high, medium, and low technology)
Unit of analysis: Granted patent (USPTO B1/B2)
Time coverage: Multiple decades of USPTO patent grants

Purpose:
To provide large-scale empirical evidence on sectoral specialization and technological rivalry between China and the USA, reframing debates on the “middle-technology trap” and the role of institutional vs technology-first models of development.

Keywords: US–China technological rivalry; comparative advantage; patents; National Innovation Systems; Sectoral Innovation Systems; global governance of technology
DOI: 10.17632/xdgkpd225y.1
title: Laser-induced magnetic dichroism and birefringence in a left-handed atomic medium

description: Data related to the graphs of ''Laser-induced magnetic dichroism and birefringence in a left-handed atomic medium'' can be found here.
Birefringence and dichroism in atomic systems are active areas of research. Circular dichroism is typically observed in chiral atoms, molecules (such as DNA), and optically asymmetric materials. These phenomena enable polarization-based selectivity and high-precision measurements with applications in optical systems, biomedical diagnostics, and advanced photonics.

Meanwhile, negative refractive index materials offer exotic applications in optics and photonics, including super-resolution imaging, invisibility cloaking, and sub-wavelength imaging. Here, we identify a novel route to achieving birefringence and dichroism in a left-handed system for the first time.

We investigate the optical activity of an atomic left-handed medium, analyzing the interaction of left- and right-circularly polarized light with different atomic states while incorporating local field corrections. Notably, our results demonstrate simultaneous left-handedness for both polarization states. Furthermore, we find that electric birefringence and dichroism are significantly enhanced with increasing control field strength, while magnetic birefringence and dichroism can be fully controlled via strong laser coupling.
These findings have promising implications in fields at the interface of lefthandedness and dichroism.
DOI: 10.17632/fkg44432ct
title: The scanned HE-stained slide files of brain sections post SEZ or ∆manY infection.

description: Mice were i.v. infected with SEZ or ∆manY strain. Moribund mice were deeply anesthetized with a 10% pentobarbital sodium intramuscular injection and perfused with 4% paraformaldehyde until the liver turned pale. The brains were then fixed in 4% paraformaldehyde for 24 hours and processed into paraffin sections for hematoxylin-eosin (HE) staining.
DOI: 10.17632/fkg44432ct.1
title: The scanned HE-stained slide files of brain sections post SEZ or ∆manY infection.

description: Mice were i.v. infected with SEZ or ∆manY strain. Moribund mice were deeply anesthetized with a 10% pentobarbital sodium intramuscular injection and perfused with 4% paraformaldehyde until the liver turned pale. The brains were then fixed in 4% paraformaldehyde for 24 hours and processed into paraffin sections for hematoxylin-eosin (HE) staining.
DOI: 10.17632/x5yc4m5yg2
title: Bengali Political Sentiment Analysis Dataset

description: This dataset comprises 3,290 Bengali political comments sourced from social media platforms, news comment sections, and online political discussions, specifically curated for sentiment analysis research in Bengali NLP. The corpus provides a comprehensive resource for training and evaluating sentiment classification models within the political domain.
The dataset features 3,290 instances distributed across five sentiment classes with excellent balance (variance &lt;8%): Very Negative (675, 20.5%), Negative (663, 20.2%), Neutral (626, 19.0%), Very Positive (664, 20.2%), and Positive (662, 20.1%). Stored in Excel format with two columns containing Bengali political comments (Unicode text) and corresponding sentiment labels, the dataset maintains high quality with no missing values and verified annotations. Comment lengths average 83 characters, ranging from 11 to 398 characters.
The collection encompasses diverse political discourse including government policies and governance, electoral processes and democracy, political parties and leadership dynamics, social and economic issues, current affairs and political events, along with public opinion and citizen responses to political developments.
This dataset serves multiple research purposes, including Bengali sentiment analysis model development and benchmarking, political discourse analysis and opinion mining, natural language processing research for low-resource languages, cross-lingual sentiment analysis studies, social media analytics for Bengali content, multi-class text classification research, and comparative political sentiment studies across different linguistic and cultural contexts.
DOI: 10.17632/x5yc4m5yg2.2
title: Bengali Political Sentiment Analysis Dataset

description: This dataset comprises 3,290 Bengali political comments sourced from social media platforms, news comment sections, and online political discussions, specifically curated for sentiment analysis research in Bengali NLP. The corpus provides a comprehensive resource for training and evaluating sentiment classification models within the political domain.
The dataset features 3,290 instances distributed across five sentiment classes with excellent balance (variance &lt;8%): Very Negative (675, 20.5%), Negative (663, 20.2%), Neutral (626, 19.0%), Very Positive (664, 20.2%), and Positive (662, 20.1%). Stored in Excel format with two columns containing Bengali political comments (Unicode text) and corresponding sentiment labels, the dataset maintains high quality with no missing values and verified annotations. Comment lengths average 83 characters, ranging from 11 to 398 characters.
The collection encompasses diverse political discourse including government policies and governance, electoral processes and democracy, political parties and leadership dynamics, social and economic issues, current affairs and political events, along with public opinion and citizen responses to political developments.
This dataset serves multiple research purposes, including Bengali sentiment analysis model development and benchmarking, political discourse analysis and opinion mining, natural language processing research for low-resource languages, cross-lingual sentiment analysis studies, social media analytics for Bengali content, multi-class text classification research, and comparative political sentiment studies across different linguistic and cultural contexts.
DOI: 10.17632/kntxxpnth4.1
title: Anxiety in Pregnancy and the Onset of Peripartum Depression: Evidence from Low-Risk Cohorts

description: Background Peripartum depression is a prevalent condition associated with adverse maternal and infant outcomes, but often remains undiagnosed, especially among women without apparent risk factors. Despite growing recognition of the association of anxiety during pregnancy and peripartum depression, routine screening in low-risk populations is not standard practice.

Methods A prospective cohort study was conducted among 214 low-risk pregnant women attending routine obstetric follow-ups at a tertiary hospital in central Israel between June 2020 and February 2021. Participants completed the Perinatal Anxiety Screening Scale and Edinburgh Postnatal Depression Scale prenatally and within six weeks postpartum. Sociodemographic and health-related data, including perceived birth experience, were also collected. Nonparametric tests and regression analyses were used to examine associations between anxiety and depression symptoms, sociodemographic variables, and perceived birth experience.

Results Before birth, 38.8% of the participants reported experiencing anxiety symptoms, with 36.9% continuing to report postpartum anxiety symptoms. The prevalence of depression symptoms increased significantly from before birth (9.8%) to postpartum (15.9%). Prenatal anxiety symptoms significantly predicted postpartum depression symptoms. Perceived birth experience partially mediated the relationship between prenatal anxiety and postpartum depression among women with lower income-to-expenditure ratios.

Conclusion A substantial proportion of low-risk women reported anxiety symptoms during pregnancy, and depression symptoms tended to worsen after childbirth. The significant association detected between prenatal anxiety symptoms and peripartum depression, even among low-risk women, emphasizes the need for public awareness and routine prenatal screening, incorporating psychological and contextual factors. Improving birth experience may help reduce postpartum depression risk especially for socioeconomically disadvantaged women.
DOI: 10.25921/q9mn-d869
title: NOAA RESTORE Science Program: A web-based interactive decision-support tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in southwest Florida: measured and laser-scanned vegetation structure from 2017-11-27 to 2017-12-02 (NCEI Accession 0222471)

description: This dataset includes physical measurements of individual plants representative of a variety of coastal vegetation communities in Collier County, FL between 2017-11-27 and 2017-12-02. Measurements included, but were not limited to, diameter at breast height, estimated canopy height, diameter and number of prop roots, and leaf area. Additional data files are point clouds of representative stands of coastal vegetation communities generated by a terrestrial laser scanner. Scans were collected between 2017-11-27 and 2017-12-02.
DOI: 10.5281/zenodo.17227600
title: Integration of critical performance attributes through a QbD-informed stability-indicating insight for a novel ungual dosage form.
DOI: 10.5281/zenodo.17250507
title: Integration of critical performance attributes through a QbD-informed stability-indicating insight for a novel ungual dosage form.
DOI: 10.15468/dl.dvde68
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bulla arabica",
 "Country is Syrian Arab Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039859-250920141307145/datasets/export for details.