cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4m5kchhfjx.1
title: 100 years-records of sediments from Lake Buir on the Mongolian Plateau

description: The data sets are the last 100-years records of sediments from Lake Buir on the Mongolian Plateau.
DOI: 10.17632/4fn25r4xfz
title: Hogg Eco Anxiety Scale (HEAS) Czech validation

description: Hogg Eco Anxiety Scale (HEAS) Czech validation - raw data collected in 2024 and 2025
DOI: 10.17632/4fn25r4xfz.1
title: Hogg Eco Anxiety Scale (HEAS) Czech validation

description: Hogg Eco Anxiety Scale (HEAS) Czech validation - raw data collected in 2024 and 2025
DOI: 10.15468/dl.vfkzrx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micrasterias C.Agardh ex Ralfs, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060634-250525065834625/datasets/export for details.
DOI: 10.17632/5jdfdgp762
title: Spondylolisthesis Vertebral Landmark

description: The dataset used in this study consists of 716 sagittal lumbar spine X-ray images:

208 images from a proprietary dataset of Honduran patients diagnosed with spondylolisthesis.
508 images from the publicly available BUU-LSPINE dataset, filtered for sagittal views only.

Each image was manually annotated to identify vertebral landmarks (corners of each vertebral body from L3 to S1). These annotations include:
Bounding boxes for vertebrae.
Four anatomical corner keypoints per vertebra.
Annotations were formatted in JSON formats compatible with PyTorch's Keypoint R-CNN.


The dataset was split as follows:
69% (494 images) for training.
29% (206 images) for validation.
16 images reserved for clinical evaluation by experts.

The curated dataset of 698 annotated images can serve as a public benchmark for future research in vertebra detection, spinal alignment analysis, or degenerative disorder classification.

The consistent performance across variable image qualities and patient anatomies enhances its potential for deployment in real-world radiology workflows.
DOI: 10.17632/5jdfdgp762.1
title: Spondylolisthesis Vertebral Landmark

description: The dataset used in this study consists of 716 sagittal lumbar spine X-ray images:

208 images from a proprietary dataset of Honduran patients diagnosed with spondylolisthesis.
508 images from the publicly available BUU-LSPINE dataset, filtered for sagittal views only.

Each image was manually annotated to identify vertebral landmarks (corners of each vertebral body from L3 to S1). These annotations include:
Bounding boxes for vertebrae.
Four anatomical corner keypoints per vertebra.
Annotations were formatted in JSON formats compatible with PyTorch's Keypoint R-CNN.


The dataset was split as follows:
69% (494 images) for training.
29% (206 images) for validation.
16 images reserved for clinical evaluation by experts.

The curated dataset of 698 annotated images can serve as a public benchmark for future research in vertebra detection, spinal alignment analysis, or degenerative disorder classification.

The consistent performance across variable image qualities and patient anatomies enhances its potential for deployment in real-world radiology workflows.
DOI: 10.17632/zjkjfv48ny
title: Integrated Analysis of Environmental TDCPP Exposure, Hepatic Injury Biomarkers, and Transcriptomic Profiles in NHANES Participants with Liver Disease

description: This dataset contains curated research data investigating the association between urinary TDCPP metabolites and liver disease progression (hepatic steatosis [HS] and liver cirrhosis [LC]) using NHANES survey data (2017-2020 cycle). It includes:

Demographic/Clinical Variables: Age, sex, BMI, CAP (≥248 dB/m for HS), LSM (≥7.4 kPa for LC) from ARFI elastography (FibroScan®).

Exposure Data: Urinary TDCPP metabolite concentrations (values &lt; LOD excluded).

Statistical Outputs:

RCS curves for dose-response relationships.

GVIF values for multicollinearity assessment.

IQR summaries of continuous variables.

Omics Data:

PPI network-identified hub genes (AKT1, STAT3, PPARG).

GO/KEGG enrichment results (PI3K-Akt, TGF-β pathways).

Immune infiltration scores (CIBERSORT algorithm).

Molecular docking binding energies for TDCPP-protein interactions.
DOI: 10.17632/zjkjfv48ny.1
title: Integrated Analysis of Environmental TDCPP Exposure, Hepatic Injury Biomarkers, and Transcriptomic Profiles in NHANES Participants with Liver Disease

description: This dataset contains curated research data investigating the association between urinary TDCPP metabolites and liver disease progression (hepatic steatosis [HS] and liver cirrhosis [LC]) using NHANES survey data (2017-2020 cycle). It includes:

Demographic/Clinical Variables: Age, sex, BMI, CAP (≥248 dB/m for HS), LSM (≥7.4 kPa for LC) from ARFI elastography (FibroScan®).

Exposure Data: Urinary TDCPP metabolite concentrations (values &lt; LOD excluded).

Statistical Outputs:

RCS curves for dose-response relationships.

GVIF values for multicollinearity assessment.

IQR summaries of continuous variables.

Omics Data:

PPI network-identified hub genes (AKT1, STAT3, PPARG).

GO/KEGG enrichment results (PI3K-Akt, TGF-β pathways).

Immune infiltration scores (CIBERSORT algorithm).

Molecular docking binding energies for TDCPP-protein interactions.
DOI: 10.17632/6k49z5tdsg
title: Thermal response of lakes to cyclic environmental forcing

description: A CSV file containing two years of measured environmental forcing and surface heat fluxes collected via EC towers from two adjacent Mediterranean lakes, Lake Kinneret (Kin) and Agamon Hula (Hula). 
A MATLAB code that calculates the equilibrium temperature (Te) based on environmental forcing and the lake's thermal response time.
DOI: 10.17632/6k49z5tdsg.2
title: Thermal response of lakes to cyclic environmental forcing

description: A CSV file containing two years of measured environmental forcing and surface heat fluxes collected via EC towers from two adjacent Mediterranean lakes, Lake Kinneret (Kin) and Agamon Hula (Hula). 
A MATLAB code that calculates the equilibrium temperature (Te) based on environmental forcing and the lake's thermal response time.
DOI: 10.17632/f44jwtbfjg.1
title: RoseVisuals - Multi-class Dutch Rose Petal Dataset From Controlled Environment.

description: The RoseVisuals - Multi-class Dutch rose petal dataset represents an extensive advancement in flower image repositories by offering a meticulously curated collection of 1,995 high-resolution, labeled images that capture the significant diversity of Dutch rose petals, encompassing a wide spectrum of color varieties and health conditions. Unlike other datasets that tend to primarily focus on broad plant disease detection or generic flower classification, often neglecting the importantance of petal-level features -RoseVisuals addresses this critical gap and offers a broader view, capturing a wide range of petal colors and their health conditions. The dataset comprises images of petals in shades like red, yellow, pink, purple, white, orange, plus stunning bi-color and multi-color varieties. On top of that, it sorts them by health—whether they’re fresh, dry, or diseased. 
In total, RoseVisuals includes 1,995 images in jpg format. Breaking it down by color, there are 244 Bi-color, 116 Multi-color, 211 Orange, 239 Pink, 237 Purple, 230 Red, 214 White, 239 Yellow. As for health, 828 are Fresh petals, 902 are Dry petals, and 265 are Diseased petals. All images in the RoseVisuals dataset were captured under controlled lighting conditions and using the Samsung S21 Ultra’s pro camera mode, ensuring uniformity and clarity. The built-in device flash was used for all images to minimize shadows and enhance detail, and every image was taken at a consistent resolution of 3000×4000 pixels with portrait frame. Each image has been pre-processed with a unique ID—like "FRESH_RED_001," where "FRESH" shows the petal’s condition, "RED" is the color, and "001" is a three-digit identifier to keep everything organized. This rich annotation assists deep learning researchers to explore fine-grained visual cues related to petal health, color variation, and disease manifestation. This dataset is perfect for training machine learning models, especially for quality checks or projects tied to agriculture, perfumes, edible products, flavors, or even cosmetics. It’s a treasure trove for anyone looking to explore the world of Dutch roses!
DOI: 10.17632/t9y6d7cgn4
title: Laboratory experimental data for thermally induced slip of granite sawcut fault at varying heating rates

description: Three heating tests at varying heating rates spanning two orders of magnitude were conducted on one individual granite sample containing a sawcut fracture. The first data files (.xlsx) recorded evolution of the vertical stress (i.e., the maximum principal stress), shear and normal displacements, heater temperature, and AE hit amplitudes during the heating. In the second file, evolution of vertical stress and shear displacement in the three tests are compared to show different nucleation processes and slip patterns caused by different heating rates. The stress drop in each large stick-slip event, together with its corresponding slip displacement and the peak slip rate in the three tests are listed in the third excel file.
DOI: 10.17632/t9y6d7cgn4.1
title: Laboratory experimental data for thermally induced slip of granite sawcut fault at varying heating rates

description: Three heating tests at varying heating rates spanning two orders of magnitude were conducted on one individual granite sample containing a sawcut fracture. The first data files (.xlsx) recorded evolution of the vertical stress (i.e., the maximum principal stress), shear and normal displacements, heater temperature, and AE hit amplitudes during the heating. In the second file, evolution of vertical stress and shear displacement in the three tests are compared to show different nucleation processes and slip patterns caused by different heating rates. The stress drop in each large stick-slip event, together with its corresponding slip displacement and the peak slip rate in the three tests are listed in the third excel file.
DOI: 10.17632/jh6h2pshmc
title: Research Data

description: Extreme climate thresholds and time–lag effects on vegetation in China's arid and semi–arid regions: A case study of the Yellow River Basin
2.2.1. Meteorological data
2.2.2. Vegetation data
2.2.3. Land cover type data
DOI: 10.17632/jh6h2pshmc.1
title: Research Data

description: Extreme climate thresholds and time–lag effects on vegetation in China's arid and semi–arid regions: A case study of the Yellow River Basin
2.2.1. Meteorological data
2.2.2. Vegetation data
2.2.3. Land cover type data
DOI: 10.17632/7bvwx26hwb
title: Systematic Literature Review Dataset on AI Agent Applications in Decentralized Finance (DeFi)

description: This dataset contains the final 22 research papers selected for a systematic literature review (SLR) on the application of AI agents in decentralized finance (DeFi).
The papers were extracted from Scopus-indexed sources and chosen based on defined inclusion and exclusion criteria related to agent-based systems, multi-agent systems (MAS), and LLM-based agents in the DeFi domain.

The dataset includes paper metadata (title, authors, year, source), citation information, and relevance annotations for each paper. This open-access file is intended to support transparency and replicability in academic research.
DOI: 10.17632/7bvwx26hwb.1
title: Systematic Literature Review Dataset on AI Agent Applications in Decentralized Finance (DeFi)

description: This dataset contains the final 22 research papers selected for a systematic literature review (SLR) on the application of AI agents in decentralized finance (DeFi).
The papers were extracted from Scopus-indexed sources and chosen based on defined inclusion and exclusion criteria related to agent-based systems, multi-agent systems (MAS), and LLM-based agents in the DeFi domain.

The dataset includes paper metadata (title, authors, year, source), citation information, and relevance annotations for each paper. This open-access file is intended to support transparency and replicability in academic research.
DOI: 10.17632/ymhctd72j6
title: HIF-Independent Oxygen Sensing Regulates Ferroptosis

description: Western blot raw data, and CRISPR screening raw data have been deposited at Mendely Data.
DOI: 10.17632/ymhctd72j6.1
title: HIF-Independent Oxygen Sensing Regulates Ferroptosis

description: Western blot raw data, and CRISPR screening raw data have been deposited at Mendely Data.
DOI: 10.17632/dvxd8w5szc
title: Postoperative Syndesmotic Malreduction in Ankle Fractures

description: This study aims to retrospectively analyze postoperative CT scans of patients treated surgically for ankle fractures involving syndesmotic injury, with the objective of evaluating the prevalence, and subtypes of malreduction, as well as their association with functional outcomes.
DOI: 10.17632/dvxd8w5szc.1
title: Postoperative Syndesmotic Malreduction in Ankle Fractures

description: This study aims to retrospectively analyze postoperative CT scans of patients treated surgically for ankle fractures involving syndesmotic injury, with the objective of evaluating the prevalence, and subtypes of malreduction, as well as their association with functional outcomes.
DOI: 10.15468/dl.c6yhaf
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mazama nana (Hensel, 1872)"
 ]
}

 The dataset includes 284 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060635-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/psjgcmy45h
title: Simulated Microgravity Accurately Models Spaceflight Effects on Bone and Skeletal Muscle in Skeletally Immature Mice Raw Data

description: This dataset includes all raw data generated for the study.
DOI: 10.17632/psjgcmy45h.1
title: Simulated Microgravity Accurately Models Spaceflight Effects on Bone and Skeletal Muscle in Skeletally Immature Mice Raw Data

description: This dataset includes all raw data generated for the study.
DOI: 10.17632/t86f562rkd
title: eHealth literacy and Social Health Authority in Kenya

description: This data was collected using the eHealth literacy scale and the Health Insurance Knowledge Quiz among students studying health-related courses in Kenya
DOI: 10.17632/t86f562rkd.1
title: eHealth literacy and Social Health Authority in Kenya

description: This data was collected using the eHealth literacy scale and the Health Insurance Knowledge Quiz among students studying health-related courses in Kenya
DOI: 10.17632/5wcgfhw2sn.1
title: Flow cytometry data of monocytes of critically ill patients

description: Flow cytometry data (fcs files) and metadata of monocytes of critically ill patients.
DOI: 10.15468/dl.kcwxn9
title: Occurrence Download

description: A dataset containing 14250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abalistes stellatus (Anonymous, 1798)"
 ]
}

 The dataset includes 14250 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060636-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpngy2
title: Occurrence Download

description: A dataset containing 14250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abalistes stellatus (Anonymous, 1798)"
 ]
}

 The dataset includes 14250 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060639-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/b513bf8567e4cf5309a50e4cafc5497a
title: Floral Censuses and Surveys of Insect Visitors to Flowers, University of Michigan Biological Station, Summers 1984-1986

description: I investigated within- and between-year patterns of flowering phenology of plants and the insects that visited them in an isolated old field in northern Michigan, USA. The project goal was to document the dynamics of resource availabilty (each floral species produced nectar and/or pollen) and assess the implications of its temporal variation on the composition of the community of insects that exploited those resources. I censued the number of open flowers for each species in 50 4-m2 quadrats at 3- 5-day intervals from June-September 1984-1986, and in separate but contemporaneous surveys of the same quadrats recorded each insect species observed on any open flower. Census and survey details noted below.
DOI: 10.15468/dl.rsgt62
title: Occurrence Download

description: A dataset containing 4175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Chalcomitra hunteri (Shelley, 1889)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4175 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060638-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x4stzvch67
title: Interview Summary

description: The summary of in-depth interview sessions with the respondents working in architectural consultancy practices
DOI: 10.17632/x4stzvch67.1
title: Interview Summary

description: The summary of in-depth interview sessions with the respondents working in architectural consultancy practices
DOI: 10.17632/cr293wgwbd.1
title: Financial Innovation for Sustainable Development Analyzing DeFi Adoption among Indonesian Investors

description: This study aims to examines the key factors driving Indonesian investors toward Decentralized Finance (DeFi) adoption, even with the resilient security offered by conventional banking systems. This emerging financial paradigm presents a potential solution to persistent challenges in financial inclusion, directly aligning with the 2030 Agenda for Sustainable Development. It seeks to find the drivers behind this shift and evaluate its effects on investor behavior and financial inclusion across Indonesia. The study incorporates the Unified Theory of Acceptance and Use of Technology (UTAUT) and Financial Disruptive Innovation Theory to create a solid foundation for exploring DeFi adoption. Using a quantitative, explanatory method, data were gathered through an online survey targeting Indonesian investors familiar with DeFi. From this, 76 valid responses were assessed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0.9.9. Results indicate that Effort Expectancy, Financial Disruption Perception, and the Intention to Adopt DeFi strongly predict adoption rates. On the other hand, elements including Performance Expectancy, Social Influence, and Facilitating Conditions showed notable impact. These insights highlight the need for intuitive DeFi platforms and greater investor understanding of its transformative power. The research enhances the academic field by linking technology acceptance with financial innovation, aligned to Indonesia’s growing digital economy and its pursuit of the SDGs. It concludes with actionable suggestions for policymakers, FinTech creators, and financial institutions to support the sustainable growth of DeFi through better platform UI/UX, educational efforts, and well-defined regulations.
DOI: 10.17632/jy7vr96k25
title: data for: The Marginal Value of Public Pension Wealth: Evidence from Border House Prices

description: Data and code to replicate Aiello, Bernstein, Kargar, Lewis, and Schwert (JFE): The Marginal Value of Public Pension Wealth: Evidence from Border House Prices
DOI: 10.17632/jy7vr96k25.1
title: data for: The Marginal Value of Public Pension Wealth: Evidence from Border House Prices

description: Data and code to replicate Aiello, Bernstein, Kargar, Lewis, and Schwert (JFE): The Marginal Value of Public Pension Wealth: Evidence from Border House Prices
DOI: 10.15468/dl.vyyeke
title: Occurrence Download

description: A dataset containing 22425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Pteroglossus castanotis Gould, 1834"
 ]
}

 The dataset includes 22425 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060637-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6tma9
title: Occurrence Download

description: A dataset containing 4321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "TaxonKey is Schizophyllum commune Fr."
 ]
}

 The dataset includes 4321 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060640-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yn82dxgjmb
title: LINF_200020000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/yn82dxgjmb.1
title: LINF_200020000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fzfk6znkwr
title: LINF_200020300

description: Armadillo repeat-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fzfk6znkwr.1
title: LINF_200020300

description: Armadillo repeat-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/gvdtn4z4hy
title: 2-D Method of Moments Formulations for Nonlinear Low-Frequency Electromagnetics

description: MATLAB-based code is included to reproduce the results of "2-D Method of Moments Formulations for Nonlinear Low-Frequency Electromagnetics". Meshes used were generated using COMSOL and DistMesh [1, 2].
[1] “Product: Ac/dc module.” https://www.comsol.com/acdc-module. Accessed: 2019-10-21.
[2] P.-O. Persson and G. Strang, “A simple mesh generator in matlab,” SIAM Review, vol. 46, no. 2, pp. 329–345, 2004.

Changenotes:
Version 3 - June 20, 2025
- Fixed a bug in the point-matching formulation that did not allow for soft starting
- Added results and figure related to maximum iteration count required for each operating point with respect to each formulation
- Added figure to display permeability vs. magnetic field specification used in studies
Version 2 - April 28, 2025
- Added README