cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8yxrztg233.3
title: Depression as a Longitudinal Modulator of Physical–Verbal Aggression in Early Adolescence: Trajectories and Sex Comparisons

description: Background:
Depression in early adolescence has been increasingly linked to heightened aggressive behaviour, yet little is known about how depressive symptoms shape the developmental trajectory of physical–verbal aggression during this critical period. Early adolescence (ages 10–14) is marked by the onset of sex differences in depression as well as significant changes in externalising behaviours, making it an essential stage for understanding comorbidity patterns. This study examines whether depressive symptoms function as a chronic and dynamic risk factor for aggression and whether these effects differ by sex.
Objective:
(1) To analyse the longitudinal effect of depression on physical–verbal aggression across early adolescence;
(2) To determine whether sex moderates the developmental trajectory and severity of aggression in adolescents with and without depression.
Method:
A three‑wave longitudinal design was conducted with 251 adolescents (66.5% girls; ages 10–14) recruited through random probability sampling in Madrid, Spain. Depression was assessed using the CDI‑S, and physical–verbal aggression with the PVA. Repeated‑Measures ANOVA tested intra‑ and inter‑individual differences across ages 10.8 (T1), 11.8 (T2), and 12.8 (T3), including sex and depression status as between‑subjects factors.
Results:
Depression exerted a significant longitudinal effect on aggression (F(1,249)=14.54, p&lt;.001, η²=.055), with adolescents with depression consistently scoring above global mean thresholds across all three time points. Aggression followed a quadratic trajectory (increase from 10.8 to 11.8 years, subsequent decrease at 12.8 years), but remained at elevated baseline levels when depression was present. Although boys and girls showed similar developmental curves (non‑significant interaction), boys displayed greater overall severity (F(1,249)=6.05, p=.015, η²=.024). Depression had a stronger impact in boys (η²=.073) than in girls (η²=.050), with depressed boys exhibiting the highest and most persistent aggression levels.
Conclusions:
Depression acts as a chronic and early‑emerging risk factor for physical–verbal aggression during early adolescence. Although trajectories are similar across sexes, boys show greater severity and reduced decline over time, suggesting increased vulnerability. These findings highlight the need for early screening of depressive symptoms in aggressive youth, and underscore the importance of longitudinal assessment for identifying high‑risk profiles and informing sex‑sensitive preventive interventions.
DOI: 10.17632/x5sf2pxnwt
title: Hoja de Excel con resultados

description: Hoja de Excel con los resultados de la evaluación de LLMs vs URLs. 

Juan Carlos Andújar Romera.
Trabajo Fin de Grado Ingeniería de la Ciberseguridad URJC.
DOI: 10.15468/dl.jj9fxj
title: Occurrence Download

description: A dataset containing 30272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dianthus carthusianorum, Dianthus carthusianorum, Dianthus carthusianorum, Dianthus carthusianorum)",
 "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 30272 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007883-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x5sf2pxnwt.1
title: Hoja de Excel con resultados

description: Hoja de Excel con los resultados de la evaluación de LLMs vs URLs. 

Juan Carlos Andújar Romera.
Trabajo Fin de Grado Ingeniería de la Ciberseguridad URJC.
DOI: 10.15468/dl.auyz7s
title: Occurrence Download

description: A dataset containing 49685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Daucus carota, Daucus carota)",
 "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 49685 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007881-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bpyzmjrcv8
title: Data From a Randomized Control Trial That Examined the Impact of a Cash Transfer and Psychological Intervention on Alcohol Outcomes and Household Welfare in India, 2018-2019

description: This dataset comes from a randomized controlled trial in India that tested the effects of a cash transfer and a psychological counselling intervention on alcohol outcomes and household welfare. It includes baseline demographic and household information (200 households), as well as detailed daily alcohol consumption, expenditure, and blood alcohol content data for 220 frequent alcohol users over 90 days. Measures of psychological hardiness and alcohol dependency (CAGE questionnaire) were collected at both baseline and endline.
DOI: 10.17632/bpyzmjrcv8.3
title: Data From a Randomized Control Trial That Examined the Impact of a Cash Transfer and Psychological Intervention on Alcohol Outcomes and Household Welfare in India, 2018-2019

description: This dataset comes from a randomized controlled trial in India that tested the effects of a cash transfer and a psychological counselling intervention on alcohol outcomes and household welfare. It includes baseline demographic and household information (200 households), as well as detailed daily alcohol consumption, expenditure, and blood alcohol content data for 220 frequent alcohol users over 90 days. Measures of psychological hardiness and alcohol dependency (CAGE questionnaire) were collected at both baseline and endline.
DOI: 10.17632/z6njg45r54
title: Supplementary Materials for: "Hormonal influences on melanoma outcomes: A multinational real-world analysis of estrogen and progesterone therapy using the TriNetX network"

description: This dataset contains supplementary tables for the study evaluating associations between estrogen and progesterone therapy and all-cause mortality in melanoma patients using TriNetX electronic health records. Files include outcome analyses, propensity score matching details, cohort characteristics, and statistical results with FDR-adjusted p-values.
DOI: 10.17632/z6njg45r54.2
title: Supplementary Materials for: "Hormonal influences on melanoma outcomes: A multinational real-world analysis of estrogen and progesterone therapy using the TriNetX network"

description: This dataset contains supplementary tables for the study evaluating associations between estrogen and progesterone therapy and all-cause mortality in melanoma patients using TriNetX electronic health records. Files include outcome analyses, propensity score matching details, cohort characteristics, and statistical results with FDR-adjusted p-values.
DOI: 10.17632/jtgx8r5zn5
title: Climate shock and TFP

description: Data used for research article
DOI: 10.17632/jtgx8r5zn5.1
title: Climate shock and TFP

description: Data used for research article
DOI: 10.17632/3fdfzm42m4
title: Publicly traded Russian manufacturing companies (master thesis)

description: The dataset contains annual panel data from the financial statements of publicly traded Russian manufacturing companies. It covers the period from 2014 to 2024 and was gathered manually from companies’ databooks, Interfax e‑disclosure files, and other available sources. All figures are presented in million RUB, except for the number of shares (in million).
DOI: 10.17632/3fdfzm42m4.1
title: Publicly traded Russian manufacturing companies (master thesis)

description: The dataset contains annual panel data from the financial statements of publicly traded Russian manufacturing companies. It covers the period from 2014 to 2024 and was gathered manually from companies’ databooks, Interfax e‑disclosure files, and other available sources. All figures are presented in million RUB, except for the number of shares (in million).
DOI: 10.17632/vpnv9xz6k3
title: Skipjack tuna landings and ex-vessel prices at Tumumpa Port, North Sulawesi (2024-2025)

description: DATASET: Skipjack Tuna Landings at Tumumpa Coastal Fishing Port, North Sulawesi, Indonesia
PERIOD: January 2024 – December 2025 (24 months)
SPECIES: Skipjack tuna (Katsuwonus pelamis) only
SOURCE: Fisheries Port Information System (PIPP), Indonesia

CITATION:
Manoppo, VEN, [2026]. Skipjack tuna landings and ex-vessel prices at Tumumpa Coastal Fishing Port, North Sulawesi, Indonesia (January 2024–December 2025) [Data set]. Mendeley Data. https://doi.org/10.17632/vpnv9xz6k3.1

VARIABLES:
- year: Calendar year (2024 or 2025)
- month: Month name (January–December)
- month_numeric: Month number (1–12) for time-series analysis
- fishing_effort_trips: Number of purse seine vessel trips landing at port
- landed_volume_kg: Total skipjack catch weight in kilograms
- transaction_value_idr: Aggregate ex-vessel revenue in Indonesian Rupiah (IDR)
- ex_vessel_price_idr_per_kg: Derived unit price (transaction_value_idr / landed_volume_kg)
- notes: Data quality flags (e.g., "species_composition_shift" for June 2024 outlier)

DATA QUALITY:
- Species filtering: Only Katsuwonus pelamis included; mixed-species landings excluded
- Outlier validation: June 2024 price spike (IDR 45,823/kg) validated via Sailing Declarations (SPB) as a temporary shift to high-value species; retained in dataset but flagged for analysis exclusion
- Anonymization: All vessel-level identifiers removed per Indonesian Ministry of Marine Affairs Regulation No. 12/2021

ETHICAL COMPLIANCE:
- Data extracted under research permit No. [Nomor Izin] from North Sulawesi Marine and Fisheries Office
- Raw vessel-level data restricted due to confidentiality regulations; only aggregated port-level data shared
- Dataset supports reproducibility of findings reported in: "[Manuscript Title]", Fisheries Research (forthcoming)

CONTACT:
Victoria Manoppo
[Universitas Sam Ratulangi]
victoria.nicoline@unsrat.ac.id
DOI: 10.17632/vpnv9xz6k3.1
title: Skipjack tuna landings and ex-vessel prices at Tumumpa Port, North Sulawesi (2024-2025)

description: DATASET: Skipjack Tuna Landings at Tumumpa Coastal Fishing Port, North Sulawesi, Indonesia
PERIOD: January 2024 – December 2025 (24 months)
SPECIES: Skipjack tuna (Katsuwonus pelamis) only
SOURCE: Fisheries Port Information System (PIPP), Indonesia

CITATION:
Manoppo, VEN, [2026]. Skipjack tuna landings and ex-vessel prices at Tumumpa Coastal Fishing Port, North Sulawesi, Indonesia (January 2024–December 2025) [Data set]. Mendeley Data. https://doi.org/10.17632/vpnv9xz6k3.1

VARIABLES:
- year: Calendar year (2024 or 2025)
- month: Month name (January–December)
- month_numeric: Month number (1–12) for time-series analysis
- fishing_effort_trips: Number of purse seine vessel trips landing at port
- landed_volume_kg: Total skipjack catch weight in kilograms
- transaction_value_idr: Aggregate ex-vessel revenue in Indonesian Rupiah (IDR)
- ex_vessel_price_idr_per_kg: Derived unit price (transaction_value_idr / landed_volume_kg)
- notes: Data quality flags (e.g., "species_composition_shift" for June 2024 outlier)

DATA QUALITY:
- Species filtering: Only Katsuwonus pelamis included; mixed-species landings excluded
- Outlier validation: June 2024 price spike (IDR 45,823/kg) validated via Sailing Declarations (SPB) as a temporary shift to high-value species; retained in dataset but flagged for analysis exclusion
- Anonymization: All vessel-level identifiers removed per Indonesian Ministry of Marine Affairs Regulation No. 12/2021

ETHICAL COMPLIANCE:
- Data extracted under research permit No. [Nomor Izin] from North Sulawesi Marine and Fisheries Office
- Raw vessel-level data restricted due to confidentiality regulations; only aggregated port-level data shared
- Dataset supports reproducibility of findings reported in: "[Manuscript Title]", Fisheries Research (forthcoming)

CONTACT:
Victoria Manoppo
[Universitas Sam Ratulangi]
victoria.nicoline@unsrat.ac.id
DOI: 10.15468/dl.96e6sf
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centronia laurifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 281 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007884-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wjj674twb4
title: Ordinal 15 Zero-Custody Disclosure Integrity Verification Packets

description: This dataset contains the hash-only, zero-custody verification packets associated with Ordinal 15: Proof-of-Unchanged Zero-Custody Audit Reproducibility Trial. The packets enable independent, deterministic verification of post-export disclosure integrity without access to raw evidence, filenames, paths, or execution environments.

The contents support a pre-registered falsification test comparing cryptographically frozen baseline evidence states with post-analysis, time-anchored datasets. Using these packets, third parties may reproduce QMSv5 Auditor comparisons to obtain either (i) proof-of-unchanged or (ii) explicit byte-level enumeration of divergence.

This release is intended solely for independent audit verification and reproducibility assessment and contains no clinical data, personal identifiers, or interpretive analysis.
DOI: 10.17632/wjj674twb4.1
title: Ordinal 15 Zero-Custody Disclosure Integrity Verification Packets

description: This dataset contains the hash-only, zero-custody verification packets associated with Ordinal 15: Proof-of-Unchanged Zero-Custody Audit Reproducibility Trial. The packets enable independent, deterministic verification of post-export disclosure integrity without access to raw evidence, filenames, paths, or execution environments.

The contents support a pre-registered falsification test comparing cryptographically frozen baseline evidence states with post-analysis, time-anchored datasets. Using these packets, third parties may reproduce QMSv5 Auditor comparisons to obtain either (i) proof-of-unchanged or (ii) explicit byte-level enumeration of divergence.

This release is intended solely for independent audit verification and reproducibility assessment and contains no clinical data, personal identifiers, or interpretive analysis.
DOI: 10.17632/vp5dxpm3s4
title: IoT Sensor and Maintenance Dataset for Machine Learning–Based Availability Analysis in Food Manufacturin

description: The research hypothesis underlying this dataset is that the integration of machine learning techniques with IoT-based monitoring and Total Productive Maintenance (TPM) strategies can significantly improve asset availability and reduce unplanned downtime in food manufacturing systems.
The dataset shows the temporal behavior of a cooling tunnel under different operational and maintenance scenarios, including baseline conditions and improved strategies incorporating predictive analytics. The data capture failure occurrences, downtime durations, repair processes, maintenance intervals, and system performance indicators derived from multiple discrete-event simulation runs.
The results highlight that predictive and condition-based maintenance strategies lead to higher availability levels, reduced variability in system performance, and improved utilization of critical resources when compared to traditional maintenance approaches. These findings suggest that data-driven maintenance policies enable more effective decision-making, particularly in environments with high operational variability.
The data were collected through multiple independent simulation replications developed in Simio Simulation, ensuring statistical validity and reproducibility. Researchers can interpret and reuse this dataset to train and validate machine learning models, evaluate maintenance policies, perform reliability and availability analyses, and develop decision-support tools applicable to manufacturing systems, especially within food industry contexts.
DOI: 10.17632/vp5dxpm3s4.1
title: IoT Sensor and Maintenance Dataset for Machine Learning–Based Availability Analysis in Food Manufacturin

description: The research hypothesis underlying this dataset is that the integration of machine learning techniques with IoT-based monitoring and Total Productive Maintenance (TPM) strategies can significantly improve asset availability and reduce unplanned downtime in food manufacturing systems.
The dataset shows the temporal behavior of a cooling tunnel under different operational and maintenance scenarios, including baseline conditions and improved strategies incorporating predictive analytics. The data capture failure occurrences, downtime durations, repair processes, maintenance intervals, and system performance indicators derived from multiple discrete-event simulation runs.
The results highlight that predictive and condition-based maintenance strategies lead to higher availability levels, reduced variability in system performance, and improved utilization of critical resources when compared to traditional maintenance approaches. These findings suggest that data-driven maintenance policies enable more effective decision-making, particularly in environments with high operational variability.
The data were collected through multiple independent simulation replications developed in Simio Simulation, ensuring statistical validity and reproducibility. Researchers can interpret and reuse this dataset to train and validate machine learning models, evaluate maintenance policies, perform reliability and availability analyses, and develop decision-support tools applicable to manufacturing systems, especially within food industry contexts.
DOI: 10.17632/4f8rjpnj4t
title: Geochemical and mineralogical data for loess-like Quaternary Red Clay profiles in mid-subtropical China

description: Non-Monotonic Behavior of Rare Earth Elements during Intense Weathering implicating a Weathering Regime Shift in Mid-Subtropical China, linked to paper submitted to Geochimica and Cosmochimica Acta. Full details can be found in the accompanying paper.
DOI: 10.17632/4f8rjpnj4t.1
title: Geochemical and mineralogical data for loess-like Quaternary Red Clay profiles in mid-subtropical China

description: Non-Monotonic Behavior of Rare Earth Elements during Intense Weathering implicating a Weathering Regime Shift in Mid-Subtropical China, linked to paper submitted to Geochimica and Cosmochimica Acta. Full details can be found in the accompanying paper.
DOI: 10.17632/xz37h9ghm7
title: Keratinocyte Carcinomas Reported With Tyrosine Kinase and Janus Kinase Inhibitors: A Systematic Review

description: Supplemental tables and materials associated with the accepted JAAD manuscript.
DOI: 10.17632/xz37h9ghm7.1
title: Keratinocyte Carcinomas Reported With Tyrosine Kinase and Janus Kinase Inhibitors: A Systematic Review

description: Supplemental tables and materials associated with the accepted JAAD manuscript.
DOI: 10.17632/spkj92s993
title: Lobetyolin Reshapes Gut Microbiota and Bile Acid Metabolism to Attenuate Androgen-Driven PCOS Phenotypes in Mice

description: To examine lobetyolin (LT)'s integrated regulatory role and molecular mechanisms in polycystic ovarian syndrome (PCOS)'s reproduction, metabolism, inflammation, and uterine receptivity. Methods: Dehydroepiandrosterone (DHEA) was used to create a mouse model of polycystic ovarian syndrome (PCOS). Lobetyolin was administered to the mice via intraperitoneal injection (i.p.) daily for 28 consecutive days. Monitoring estrus cycle, glucose tolerance, and hormone levels. ELISA, qPCR, 16S rRNA sequencing, and targeted bile acid metabolomics were used to assess the expression of androgen synthesis genes (cholesterol side-chain cleavage enzyme, CYP11A1; 17α-Hydroxylase/17,20-lyase, CYP17A1; Aromatase, CYP19A1), inflammation-microbiota-bile acid axis, and endometrial matrix metalloproteinases (MMPs). Lobetyolin effectively restored the estrus cycle, lowered the LH/FSH ratio and free testosterone levels (P &lt; 0.01), and enhanced insulin sensitivity in DHEA mice. LT downregulated CYP11A1 and CYP17A1 and upregulated CYP19A1 via "upstream inhibition and downstream activation" in the androgen network. Additionally, it reduced ovarian IL-6 and TNF-α levels by inhibiting the TLR4/NF-κB pathway. LT altered the gut microbiota by increasing the α-diversity index, normalizing the Firmicutes/Bacteroidetes (F/B) ratio, promoting Dubosiella and Muribaculum growth, and inhibiting Lachnospiraceae and Alistipes abundance. HCA and TCDCA levels were specifically enhanced in the bile acid profile by LT. LT improves endometrial receptivity by reducing VEGFA/VEGFR expression, upregulating TIMP1 and TIMP2, restoring MMP/TIMP homeostasis, and reversing the "triple network dysregulation" of oxidative stress, inflammation, and vascular remodeling. Conclusion: Lobetyolin exerts therapeutic effects by inhibiting androgen synthesis, insulin sensitization, inflammation, and microbiota remodeling, reprogramming the bile acid profile, and correcting the uterine stroma.” synergistically breaks the PCOS cycle of hyperandrogenism, insulin resistance, chronic inflammation, and defective uterine reprogramming. A novel, exactly translatable, integrated clinical intervention strategy was developed.