cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p13my62a
title: Fish passage classification of the stream network in the Willamette River Basin, 1990-2020

description: The U.S. Geological Survey (USGS) Oregon Water Science and Forest and Rangeland Ecosystem Science Centers have developed a spatial database of the stream network in the Willamette River Basin classified by degree of obstruction to fish passage. This effort was funded by the USGS Ecological Flows program in cooperation with the Integrated Water Availability Assessments in the Willamette River Basin. Degree of obstruction along the stream network was characterized by snapping the Oregon Department of Fish and Wildlife (ODFW) fish passage barrier points (Bowers, 2020) to the high-resolution National Hydrography Dataset (NHD) network (USGS, 2022), assigning the passage status of each point to the upstream network, transferring the passage classification to the medium-resolution NHD Plus v2 network (USGS and Environmental Protection Agency, 2020), and manually editing network classifications based on visual review and review of passage and trap-and-haul efforts at 21 dams. The resulting dataset reflects fish passage conditions as of 1990-2020. Following the definitions in the ODFW barriers database, "fish passage" encompasses passage of fish in general, not a specific species. This stream network classification based on fish passage was developed as a dataset for occupancy modeling of native freshwater mussels across the Willamette River Basin. This dataset may also be useful for basin-wide habitat assessments. Users are encouraged to carefully read the documentation to understand the assumptions and limitations of this dataset.

Sources in abstract:
Bowers, J., 2020, Oregon Fish Passage Barriers, No longer available online.
U.S. Geological Survey, 2022, NHDPlus High Resolution: U.S. Geological Survey data release, https://www.usgs.gov/national-hydrography/nhdplus-high-resolution.
U.S. Environmental Protection Agency and U.S. Geological Survey, 2020, NHDPlus Version 2.1 Medium Resolution, https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus.
DOI: 10.15468/dl.bf8yah
title: Occurrence Download

description: A dataset containing 39755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "GadmGid is BRA.14_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2016-2016"
 ]
}

 The dataset includes 39755 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019663-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mdmkfjkjxd.1
title: Dynamic Volatility Connectedness across Commodity Futures: The Role of Macroeconomic Attention

description: Replication file for "Dynamic Volatility Connectedness across Commodity Futures: The Role of Macroeconomic Attention"
DOI: 10.34740/kaggle/dsv/13111475
title: Antutu Benchmark
DOI: 10.17632/z8sfdnch2c.1
title: Measuring Hallucination in Large Language Models for Cyber Threat Intelligence: An Exploratory Study

description: In this paper, we present the first measurement-driven study on the reliability of LLM-based expert systems applied to CTI tasks. We propose an automated framework, HalluVision, which generates LLM outputs, extracts malware-related entities using a fine-tuned Named Entity Recognition (NER) model, and evaluates their factual consistency using multiple similarity metrics. Our analysis, based on 4,940 real-world security articles, includes both quantitative measurements and qualitative case studies, offering a comprehensive evaluation of hallucination risks in this high-stakes application domain.
DOI: 10.17632/r5zf6vb25j
title: Mexican fans' perception of football violence

description: Spectator violence is a relatively common phenomenon in various parts of the world, especially during football/soccer matches. Increasing violence has been cited as a reason for reduced fan attendance at football matches in Mexico. This study looks at Mexican fans' perception of violence to explore whether it is impacting attendance. The database includes responses from 406 fans of first or second division Mexican teams, 31% female, 69% male, 40% between 18 and 29, 40% between 30 and 49, 20% over 50, 41% have a university degree. 89% attend at least one match per year and 78% have witnessed some violence at the stadium, including verbal or physical aggression, or brawling. 70% say that have changed their attendance habits due to violence. The database is in Spanish. The data were collected via a survey distributed by a professional research firm.
DOI: 10.17632/r5zf6vb25j.2
title: Mexican fans' perception of football violence

description: Spectator violence is a relatively common phenomenon in various parts of the world, especially during football/soccer matches. Increasing violence has been cited as a reason for reduced fan attendance at football matches in Mexico. This study looks at Mexican fans' perception of violence to explore whether it is impacting attendance. The database includes responses from 406 fans of first or second division Mexican teams, 31% female, 69% male, 40% between 18 and 29, 40% between 30 and 49, 20% over 50, 41% have a university degree. 89% attend at least one match per year and 78% have witnessed some violence at the stadium, including verbal or physical aggression, or brawling. 70% say that have changed their attendance habits due to violence. The database is in Spanish. The data were collected via a survey distributed by a professional research firm.
DOI: 10.3886/e115141v2
title: Truth Effect Warnings

description: Data, syntax, and supplemental materials for Only Half of What I’ll Tell You is True: How Experimental Procedures Lead to an Underestimation of the Truth Effect, a manuscript currently under review.
DOI: 10.17632/22bcmpzrh5
title: A Rapid Bacterial Labeling Method for Phenotypic Antimicrobial Susceptibility Testing

description: Table 3. A summary of results from the BLAST assay using isolates. The BLAST assay was used to determine MICs for E. coli ATCC 25922 and S. aureus ATCC 29213 against 11 and 9 antimicrobial agents respectively. Bacterial isolates were tested at a starting inoculum of 5 x 106 CFU/mL. Each BLAST MIC value was compared to the corresponding CLSI QC range, and all the values match except, S. aureus ATCC 29213 against doxycycline.
DOI: 10.17632/22bcmpzrh5.1
title: A Rapid Bacterial Labeling Method for Phenotypic Antimicrobial Susceptibility Testing

description: Table 3. A summary of results from the BLAST assay using isolates. The BLAST assay was used to determine MICs for E. coli ATCC 25922 and S. aureus ATCC 29213 against 11 and 9 antimicrobial agents respectively. Bacterial isolates were tested at a starting inoculum of 5 x 106 CFU/mL. Each BLAST MIC value was compared to the corresponding CLSI QC range, and all the values match except, S. aureus ATCC 29213 against doxycycline.
DOI: 10.15468/dl.6kq92h
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chione compta",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019664-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s54n4tyyz4
title: Global Day-Ahead Electricity Price Dataset

description: This dataset presents a unified, cross-continental time-series day-ahead electricity prices compiled from major wholesale markets across Asia, Europe, North America, South America, and Oceania. The dataset offers a standardized format that supports time-series forecasting and enables robust comparative analysis across diverse global electricity markets.
DOI: 10.17632/s54n4tyyz4.3
title: Global Day-Ahead Electricity Price Dataset

description: This dataset presents a unified, cross-continental time-series day-ahead electricity prices compiled from major wholesale markets across Asia, Europe, North America, South America, and Oceania. The dataset offers a standardized format that supports time-series forecasting and enables robust comparative analysis across diverse global electricity markets.
DOI: 10.15468/dl.43jmb3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenchrus polystachios",
 "Country is Grenada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019666-250914085247600/datasets/export for details.
DOI: 10.17632/j3b978fgd7
title: ROHINGYA REFUGEE CAMPS IN BANGLADESH: IMPACTS OF LAND-SHELTER CONFLICTS AND COPING STRATEGIES

description: The research was conducted as a part of Master degree in DPMI from Asian Institute of Technology, Thailand. This is the second article based on the thesis.
DOI: 10.17632/j3b978fgd7.1
title: ROHINGYA REFUGEE CAMPS IN BANGLADESH: IMPACTS OF LAND-SHELTER CONFLICTS AND COPING STRATEGIES

description: The research was conducted as a part of Master degree in DPMI from Asian Institute of Technology, Thailand. This is the second article based on the thesis.
DOI: 10.15468/dl.8pbjsb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenchrus polystachios",
 "Country is Dominica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019665-250914085247600/datasets/export for details.
DOI: 10.17632/yntbcsj9ms
title: Master Thesis Article 1

description: This is a research as a part of master thesis. Those data are used for article 1.
DOI: 10.17632/yntbcsj9ms.1
title: Master Thesis Article 1

description: This is a research as a part of master thesis. Those data are used for article 1.
DOI: 10.15468/dl.gvu3hs
title: Occurrence Download

description: A dataset containing 498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-70.69589 -3.84713,-70.23832 -3.86945,-69.94815 -4.23774,-69.42362 -1.29142,-69.85887 -1.29142,-70.03744 -1.62623,-70.56197 -1.48115,-71.48828 -1.01242,-72.22485 -0.58833,-73.57525 -0.53252,-73.82078 -0.40976,-73.94354 -1.06822,-73.45149 -1.60424,-73.139 -1.87209,-73.06088 -2.29618,-72.2127 -2.50823,-71.7886 -2.2069,-71.35335 -2.3185,-71.00738 -2.24038,-70.53865 -2.46359,-70.03644 -2.70911,-70.69589 -3.84713))",
 "TaxonKey is one of (Eunectes murinus, Anodorhynchus hyacinthinus, Harpia harpyja, Inia geoffrensis, Panthera onca)"
 ]
}

 The dataset includes 498 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019667-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ghgm3m69zp
title: Entrenamiento en Relajación en pacientes con Trastorno de Ansiedad Generalizada: Una Revisión Bibliográfica

description: This Master’s Thesis presents a literature review on the effectiveness of relaxation training techniques in patients with Generalized Anxiety Disorder (GAD). It analyzes both recent and classical studies that evaluate the application of different relaxation modalities —diaphragmatic breathing, progressive muscle relaxation, mindfulness, and autogenic training— in reducing anxiety symptoms, as well as their role in improving overall well-being.

The results show that relaxation techniques are an effective, low-cost, and easily applicable tool in clinical practice, although the literature highlights the need for long-term comparative studies with larger samples.

This work aims to provide an updated synthesis that facilitates the integration of relaxation strategies into the psychological intervention of GAD, reinforcing the importance of an evidence-based approach.
DOI: 10.17632/ghgm3m69zp.1
title: Entrenamiento en Relajación en pacientes con Trastorno de Ansiedad Generalizada: Una Revisión Bibliográfica

description: This Master’s Thesis presents a literature review on the effectiveness of relaxation training techniques in patients with Generalized Anxiety Disorder (GAD). It analyzes both recent and classical studies that evaluate the application of different relaxation modalities —diaphragmatic breathing, progressive muscle relaxation, mindfulness, and autogenic training— in reducing anxiety symptoms, as well as their role in improving overall well-being.

The results show that relaxation techniques are an effective, low-cost, and easily applicable tool in clinical practice, although the literature highlights the need for long-term comparative studies with larger samples.

This work aims to provide an updated synthesis that facilitates the integration of relaxation strategies into the psychological intervention of GAD, reinforcing the importance of an evidence-based approach.
DOI: 10.15468/dl.sqyr54
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-44.48518 -22.27178,-45.11605 -22.42417,-44.79909 -23.37505,-44.28707 -23.22876,-43.58915 -23.07638,-42.67484 -22.96361,-42.87599 -22.04015,-44.48518 -22.27178))",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019668-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3wn36
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cenchrus polystachios",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019669-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jxgxc52j47
title: Ash Gourd Leaf Condition Dataset (AGLCD-2025): A High-Resolution Benchmark for Multi-Class Leaf Disease Classification

description: The Ash Gourd Leaf Condition Dataset (AGLCD-2025) consists of 3,295 high-resolution images of Ash Gourd (Benincasa hispida) leaves, collected in 2025 from agricultural fields in Bangladesh (GPS: 23.8145°N, 90.4125°E; altitude: 26.4 meters). The original images were captured using a Xiaomi M2102J20SG smartphone under natural daylight conditions, retaining full EXIF metadata such as F-stop (f/1.8), ISO speed (ISO-100), exposure time (1/125 sec), focal length (5 mm), metering mode (center-weighted average), and white balance set to auto. The raw images are in JPG format, 24-bit sRGB color space, and 72 dpi resolution.

To prepare the dataset for deep learning and image classification tasks, all images were preprocessed through multiple stages:

Background removal to isolate leaf structures and enhance clarity.

Enhanced image folder containing contrast-adjusted, noise-reduced images for improved feature extraction.

Augmented image folder with balanced 1,000 images per class created via data augmentation techniques (rotation, scaling, flipping, etc.) to address class imbalance.

The dataset covers 7 different Ash Gourd leaf conditions, representing both healthy and diseased states of the plant:

Downy Mildew (456 images)

Dried Leaf (470 images)

Healthy Leaf (547 images)

Leaf Blight (452 images)

Soft Rot (466 images)

Yellow Hallow (424 images)

Yellowing of Leaf (480 images)

This AGLCD-2025 dataset is built to support diverse applications such as leaf disease classification using CNNs and transformer-based models, mobile app development for plant disease diagnosis, explainable AI (XAI) research, and smart farming solutions. It is particularly valuable for fields like Agrotechnology, where it can aid in developing advanced crop management strategies, improving plant health monitoring, and optimizing sustainable agricultural practices. The goal of this dataset is to accelerate progress in precision agriculture, agro-tech innovation, and AI-driven plant pathology.
DOI: 10.17632/jxgxc52j47.1
title: Ash Gourd Leaf Condition Dataset (AGLCD-2025): A High-Resolution Benchmark for Multi-Class Leaf Disease Classification

description: The Ash Gourd Leaf Condition Dataset (AGLCD-2025) consists of 3,295 high-resolution images of Ash Gourd (Benincasa hispida) leaves, collected in 2025 from agricultural fields in Bangladesh (GPS: 23.8145°N, 90.4125°E; altitude: 26.4 meters). The original images were captured using a Xiaomi M2102J20SG smartphone under natural daylight conditions, retaining full EXIF metadata such as F-stop (f/1.8), ISO speed (ISO-100), exposure time (1/125 sec), focal length (5 mm), metering mode (center-weighted average), and white balance set to auto. The raw images are in JPG format, 24-bit sRGB color space, and 72 dpi resolution.

To prepare the dataset for deep learning and image classification tasks, all images were preprocessed through multiple stages:

Background removal to isolate leaf structures and enhance clarity.

Enhanced image folder containing contrast-adjusted, noise-reduced images for improved feature extraction.

Augmented image folder with balanced 1,000 images per class created via data augmentation techniques (rotation, scaling, flipping, etc.) to address class imbalance.

The dataset covers 7 different Ash Gourd leaf conditions, representing both healthy and diseased states of the plant:

Downy Mildew (456 images)

Dried Leaf (470 images)

Healthy Leaf (547 images)

Leaf Blight (452 images)

Soft Rot (466 images)

Yellow Hallow (424 images)

Yellowing of Leaf (480 images)

This AGLCD-2025 dataset is built to support diverse applications such as leaf disease classification using CNNs and transformer-based models, mobile app development for plant disease diagnosis, explainable AI (XAI) research, and smart farming solutions. It is particularly valuable for fields like Agrotechnology, where it can aid in developing advanced crop management strategies, improving plant health monitoring, and optimizing sustainable agricultural practices. The goal of this dataset is to accelerate progress in precision agriculture, agro-tech innovation, and AI-driven plant pathology.
DOI: 10.17632/wsm4vfxvsf
title: Lobster Sound Dataset

description: The following lobster sounds dataset was collected from Johnshaven in Scotland between June 16 to June 18, 2024.
DOI: 10.17632/wsm4vfxvsf.2
title: Lobster Sound Dataset

description: The following lobster sounds dataset was collected from Johnshaven in Scotland between June 16 to June 18, 2024.
DOI: 10.17632/wsp58mnvpp
title: Isolating the light dependence of carbon isotope fractionation in Gephyrocapsa (Emiliania) huxleyi

description: Measurements of culture conditions, chemistry, and carbon isotopic compositions from nitrate-limited chemostat cultures of Gephyrocapsa (Emiliania) huxleyi strain CCMP 3266/RCC 1216.
DOI: 10.17632/wsp58mnvpp.1
title: Isolating the light dependence of carbon isotope fractionation in Gephyrocapsa (Emiliania) huxleyi

description: Measurements of culture conditions, chemistry, and carbon isotopic compositions from nitrate-limited chemostat cultures of Gephyrocapsa (Emiliania) huxleyi strain CCMP 3266/RCC 1216.
DOI: 10.17632/3km92wznmp
title: Nephobia in parental care

description: Nephobia in parental care
DOI: 10.17632/2gnwfn2d7s
title: Data for: Fe-Mg in olivine: simultaneous experimental determination of the diffusion-driven isotope fractionation along with tracer- and inter-diffusion coefficients

description: We have performed a series of diffusion experiments at temperatures of 1100-1300°C and variable oxygen fugacities using a 25Mg- and 57Fe-enriched powder source to produce Fe-Mg chemical and isotopic diffusion profiles in crystallographically oriented San Carlos olivine crystal cuboids. Experimental parameters have been systematically varied in order to investigate the dependence of βFe and βMg (kinetic isotope fractionation factors) on temperature, crystallographic orientation, and composition. Chemical and isotopic diffusion profiles were analyzed by electron microprobe and femtosecond-laser ablation-ICP-MS (major and minor element concentrations), and by femtosecond-laser ablation-MC-ICP-MS (Fe-Mg isotopic variations). Additionally, we have applied a multicomponent diffusion model which considers the coupled diffusion of Fe and Mg isotopes in order to simulate the measured chemical and isotopic zoning of our experimental olivine crystals. This allows to simultaneously determine accurate βFe- and βMg-values as well as the tracer diffusion coefficients of Fe and Mg (D*Fe, D*Mg) in olivine.

The files listed below contain:
- forsterite zoning profiles measured by laser ablation depth profiling, by laser ablation linescans, and by electron probe microanalyis (D1).
- input data for multicomponent diffusion model in order to fit Fe-Mg chemical and isotopic diffusion profiles in San Carlos olivine crystal cuboids (D2).
- βFe-, βMg-values, and diffusion coefficients determined experimentally at log(fO2) ≈ -5 [Pa] in this study (D3).
- βFe-, βMg-values, and diffusion coefficients determined experimentally at variable oxygen fugacities in this study (D4). 
- β-values and β-ratios used in multicomponent diffusion simulation in comparison with β-values and β-ratios obtained by fitting such simulated profiles with conventional diffusion modeling (D5). 
- mean values of βFe and βMg as determined in this study for the temperature range 1100-1300°C and at log(fO2 [Pa]) between -7.1 and -2.3 (D6).
- result figures of simulations of measured Fe-Mg chemical and isotopic profiles (MATLAB fits), using our multicomponent diffusion model (D7).
- characterization of the powder source of our diffusion experiments: BSE and images and results of EDX analyses using a ThermoFisher DualBeam FIB-SEM Scios2 (D8).
- Fe-Mg inter-diffusion coefficients obtained by (conventionally) modeling Fe-Mg chemical profiles (see Eqn. 7 in the main paper) measured by electron probe microanalysis on mounted SC-Ol crystal cuboids (D9).
DOI: 10.17632/3km92wznmp.1
title: Nephobia in parental care

description: Nephobia in parental care