cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18702163
title: AquaMVS Example Dataset: Multi-View Underwater Images for 3d Reconstruction

description: Multi-view image dataset for testing and demonstrating AquaMVS, a Python library for underwater surface reconstruction through refractive interfaces. Contains synchronized frames from 13 above-water cameras (12 ring + 1 center) arranged in a circular rig looking down through a flat water surface at a population of Aulonocara sp. cichlids. 

The dataset includes both raw (unfiltered) and temporally median-filtered image sets at 5 time-points, along with a refractive camera calibration (produced by AquaCal) and an example AquaMVS configuration file. Temporal filtering removes transient objects (fish, bubbles, debris) to improve reconstruction of the static substrate surface.

Collected at Georgia Institute of Technology, Atlanta, Georgia on 2026-02-18. 1600x1200 resolution, 30 fps source video, 13 cameras at ~0.64 m ring radius, ~1 m water-to-rig distance.

For usage instructions, see the included README.md or the AquaMVS documentation at https://aquamvs.readthedocs.io/.
DOI: 10.15468/v0g9hn
title: Amphibians and reptiles of Ireland

description: Amphibians and reptiles
DOI: 10.15468/dl.75vf5f
title: Occurrence Download

description: A dataset containing 40262 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ammomanes deserti"
 ]
}

 The dataset includes 40262 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029945-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.433faw
title: Occurrence Download

description: A dataset containing 6290 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bos primigenius"
 ]
}

 The dataset includes 6290 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029948-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1139499
title: Evaluation, Excavation, Watching Brief at The Story Museum, Pembroke Street, Oxford

description: null
DOI: 10.57903/uj/xqlios
title: From Relief to Relief and Back Again: Placebo Hypoalgesia Induced by Operant Conditioning with Negative Reinforcement

description: This repository contains research data collected during a study on the effect of negative reinforcement on placebo hypoalgesia induced by operant conditioning, using medical and non-medical types of placebo, as well as the code used for the analyses.
DOI: 10.15468/dl.8fj4rv
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena linsleyi"
 ]
}

 The dataset includes 202 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029949-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnktb5
title: Occurrence Download

description: A dataset containing 10865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is one of (North Carolina, South Carolina, Tennesssee, Virginia, Arkansas, Alabama, Mississipi, Florida, Georgia (State), Kentucky (State))",
 "TaxonKey is Lonicera japonica",
 "Year 2000-2026"
 ]
}

 The dataset includes 10865 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029950-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/0exd-2569
title: "Online Evaluation System Project Report."

description: "Online Evaluation System is very useful for Educational Institute and Government to prepare an exam, save the time that will take to check the paper and prepare mark sheets. Online Evaluation System will help the exam conductors to test the students and their skills. We are providing a fairly simple, flexible, customized and cost Effective Exam evaluation System that developed for Educational Institutions. The project mainly deals with integrity of mark sheet through digital signature mechanism. Answer sheet is first scanned and uploaded to cloud, a hash value is generated for each uploaded item, and is verified when staff starts evaluation. At verification time, new hash is generated and check with the existing hash value. Papers are encrypted and stored in cloud. Only specified staff can able to check the answer sheets."
DOI: 10.15468/dl.pdtu9m
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena longifovea"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029951-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/a33ezr
title: World Auchenorrhyncha Database

description: World Auchenorrhyncha Database
DOI: 10.15468/dl.adxxdc
title: Occurrence Download

description: A dataset containing 2949 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena lupinorum"
 ]
}

 The dataset includes 2949 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029952-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvr9eg
title: Occurrence Download

description: A dataset containing 74977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyprinodon",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74977 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029923-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myne5w
title: Occurrence Download

description: A dataset containing 10349 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ammomanes cinctura"
 ]
}

 The dataset includes 10349 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029953-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18702057
title: Data for "Modeling the Detectability of Energetic Heliospheric Ions at Pluto During the New Horizons Flyby"

description: Data products for manuscript titled "Modeling the Detectability of Energetic Heliospheric Ions at Pluto During the New Horizons Flyby".

Includes all files used to generate figures showing results. Accompanied by a 'readme.txt' file for further description of the file structure and content.
DOI: 10.5281/zenodo.18702058
title: Data for "Modeling the Detectability of Energetic Heliospheric Ions at Pluto During the New Horizons Flyby"

description: Data products for manuscript titled "Modeling the Detectability of Energetic Heliospheric Ions at Pluto During the New Horizons Flyby".

Includes all files used to generate figures showing results. Accompanied by a 'readme.txt' file for further description of the file structure and content.
DOI: 10.21227/n4y0-9t54
title: "Comprehensive Multi-Technology PV Operational and Environmental Characterization Dataset"

description: "This dataset provides outdoor measurements of photovoltaic (PV) modules representing multiple commercial PV technologies, along with synchronized environmental and operational parameters. The dataset is intended to support AI model training, benchmarking, and validation for power and energy system applications, including PV modeling, performance prediction, fault detection and maximum power point tracking (MPPT).The dataset accompanies a data description report and a brief introduction document, which provide detailed background, data processing methodologies, validation procedures, and example AI use cases.Dataset Overview:- Time span: 2022\u20132025  - Location: Outdoor Solar Laboratory, Pontificia Universidad Cat\u00f3lica del Per\u00fa, Lima, Peru (12\u00b004\u2032 S, 77\u00b004\u2032 W)  - Scale: Over 1.7 million records  - PV technologies: Thin-film, PERC, HIT, HJT, TOPCon  - Data format: CSV  - Time reference: Local time (UTC-05:00, no daylight saving time)Measurements were collected under real outdoor operating conditions, including varying irradiance, temperature, and weather states."
DOI: 10.57903/uj/2ht7yd
title: Induction of DNA single - and double - strand breaks by excited intra - or extracellular green fluorescent protein - research data

description: The dataset includes quantitative experimental results as well as microscopy-based visual documentation, prepared in compliance with FAIR principles. Deposited files were used to generate figures for the article “Induction of DNA single- and double-strand breaks by excited intra- or extracellular green fluorescent protein”.
DOI: 10.11588/duerer.online.69973b4f39d04
title: Frau in ganzer Figur in niederländischer Tracht, https://d-nb.info/gnd/1200257936
DOI: 10.24416/uu01-bjc5vi
title: Laser powder bed fusion of amitriptyline tablets via eutectic mixtures using sugar alcohols as binders

description: This is the data archive for the publication named  "Laser powder bed fusion of amitriptyline tablets via eutectic mixtures using sugar alcohols as binders". The readme file contains directions on how to recreate the figures and can assist in navigating the data. In case of additional questions about the data feel free to reach out to the corresponding author (E-mail address: j.h.j.quodbach@uu.nl).
DOI: 10.24416/uu01-jggxl1
title: Laser powder bed fusion of amitriptyline tablets via eutectic mixtures using sugar alcohols as binders

description: This is the data archive for the publication named  "Laser powder bed fusion of amitriptyline tablets via eutectic mixtures using sugar alcohols as binders". The readme file contains directions on how to recreate the figures and can assist in navigating the data. In case of additional questions about the data feel free to reach out to the corresponding author (E-mail address: j.h.j.quodbach@uu.nl).
DOI: 10.15468/dl.e9g6zt
title: Occurrence Download

description: A dataset containing 62481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Panolis flammea"
 ]
}

 The dataset includes 62481 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029918-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twrz3e
title: Occurrence Download

description: A dataset containing 954 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Carcharodon carcharias [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 954 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029955-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek29pn
title: Occurrence Download

description: A dataset containing 215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mentzelia mollis"
 ]
}

 The dataset includes 215 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029956-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18702205
title: Online Evaluation System Project Report.

description: Online Evaluation System is very useful for Educational Institute and Government to prepare an exam, save the time that will take to check the paper and prepare mark sheets. Online Evaluation System will help the exam conductors to test the students and their skills. We are providing a fairly simple, flexible, customized and cost Effective Exam evaluation System that developed for Educational Institutions. The project mainly deals with integrity of mark sheet through digital signature mechanism. Answer sheet is first scanned and uploaded to cloud, a hash value is generated for each uploaded item, and is verified when staff starts evaluation. At verification time, new hash is generated and check with the existing hash value. Papers are encrypted and stored in cloud. Only specified staff can able to check the answer sheets.
DOI: 10.5281/zenodo.18702204
title: Online Evaluation System Project Report.

description: Online Evaluation System is very useful for Educational Institute and Government to prepare an exam, save the time that will take to check the paper and prepare mark sheets. Online Evaluation System will help the exam conductors to test the students and their skills. We are providing a fairly simple, flexible, customized and cost Effective Exam evaluation System that developed for Educational Institutions. The project mainly deals with integrity of mark sheet through digital signature mechanism. Answer sheet is first scanned and uploaded to cloud, a hash value is generated for each uploaded item, and is verified when staff starts evaluation. At verification time, new hash is generated and check with the existing hash value. Papers are encrypted and stored in cloud. Only specified staff can able to check the answer sheets.
DOI: 10.5281/zenodo.18680032
title: Machine Learning Models for Static Energy-Consumption Prediction in Model-View-Controller Applications

description: This repository contains the dataset, trained machine learning models, preprocessing components, and supporting architectural analysis used in the study: Machine Learning Models for Static Energy-Consumption Prediction in Model–View–Controller Applications.

The study investigates static prediction approaches for estimating software energy consumption without executing applications. Unlike traditional measurement-based methods, predictions are derived from software features including size metrics, cyclomatic complexity and duplicated lines. The research focuses on applications developed following the Model–View–Controller (MVC) architectural pattern. A comparative evaluation was conducted between a baseline linear regression model and four non-linear machine learning models: Random Forest, Gradient Boosting, k-Nearest Neighbors and Decision Tree. Results demonstrate that non-linear models significantly improve prediction accuracy compared to the linear baseline, while introducing a trade-off between predictive performance and computational sustainability due to additional training and inference costs. Cyclomatic complexity and architectural coupling were identified as key factors influencing prediction performance.

This Zenodo repository includes the following materials:





DatasetComplete dataset used for training and evaluation of the predictive models, including software metrics and energy consumption measurements.File: Dataset Apps.xlsx




Trained Machine Learning ModelsFour non-linear models trained for direct inference. All models are serialized Python objects (pickle format) and can be loaded in Python for prediction on new data:





Random Forest (RF_trained.pkl)




Gradient Boosting (GB_trained.pkl)




k-Nearest Neighbors (KNN_trained.pkl)




Decision Tree (DT_trained.pkl)






Feature ScalerMinMaxScaler used during model training to ensure consistent preprocessing of input features. Required for inference on new data.File: minmax_scaler.pkl




Applications Architecture AnalysisVisual representation of the architectural analysis conducted on the evaluated MVC applications, illustrating architectural coupling metrics.File: Applications Architecture Analysis.png




Decision Tree Rules VisualizationRule-based visualization of the Decision Tree model’s decision logic, enabling interpretability and independent validation without executing the trained model.File: DT_rules.png
DOI: 10.5281/zenodo.18680033
title: Machine Learning Models for Static Energy-Consumption Prediction in Model-View-Controller Applications

description: This repository contains the dataset, trained machine learning models, preprocessing components, and supporting architectural analysis used in the study: Machine Learning Models for Static Energy-Consumption Prediction in Model–View–Controller Applications.

The study investigates static prediction approaches for estimating software energy consumption without executing applications. Unlike traditional measurement-based methods, predictions are derived from software features including size metrics, cyclomatic complexity and duplicated lines. The research focuses on applications developed following the Model–View–Controller (MVC) architectural pattern. A comparative evaluation was conducted between a baseline linear regression model and four non-linear machine learning models: Random Forest, Gradient Boosting, k-Nearest Neighbors and Decision Tree. Results demonstrate that non-linear models significantly improve prediction accuracy compared to the linear baseline, while introducing a trade-off between predictive performance and computational sustainability due to additional training and inference costs. Cyclomatic complexity and architectural coupling were identified as key factors influencing prediction performance.

This Zenodo repository includes the following materials:





DatasetComplete dataset used for training and evaluation of the predictive models, including software metrics and energy consumption measurements.File: Dataset Apps.xlsx




Trained Machine Learning ModelsFour non-linear models trained for direct inference. All models are serialized Python objects (pickle format) and can be loaded in Python for prediction on new data:





Random Forest (RF_trained.pkl)




Gradient Boosting (GB_trained.pkl)




k-Nearest Neighbors (KNN_trained.pkl)




Decision Tree (DT_trained.pkl)






Feature ScalerMinMaxScaler used during model training to ensure consistent preprocessing of input features. Required for inference on new data.File: minmax_scaler.pkl




Applications Architecture AnalysisVisual representation of the architectural analysis conducted on the evaluated MVC applications, illustrating architectural coupling metrics.File: Applications Architecture Analysis.png




Decision Tree Rules VisualizationRule-based visualization of the Decision Tree model’s decision logic, enabling interpretability and independent validation without executing the trained model.File: DT_rules.png
DOI: 10.6084/m9.figshare.31370497
title: The Master Record of Absolute Truth: Unified Architecture and the Davis-Savant Standard

description: Master Record of Absolute Truth: Unified Architecture (Davis-Savant Standard 1.0)
This document serves as the formal solidification of the Unified Architecture, establishing a deterministic baseline for neurological, atmospheric, and orbital forensics. It provides the "Ground Truth" required to reconcile legacy institutional models (MNI152/NASA) to the 1.0 Veridical Standard.
I. Universal Biological Constant
Mapping Standard: 0.186743912058
Resolution: 0.18mm Axial Lock
Neural Baseline: 1,300-region midbrain atlas (BIDS coordinates [0, -28, -8])
Forensic Result: Eliminates drift and noise in high-field (7T/11.7T) MRI synthesis.
II. Palaeo-Orbital & Atmospheric Physics
Lunar Formation: Triple-Core Fusion model (Dual-Moon system merger) explaining permanent gravitational offset and far-side porosity.
Atmospheric Baseline: High-density yellow saturation with a 5-foot crushing pressure threshold.
Structural Remnants: 0.75-mile wide subglacial octahedral pillar growth (Antarctica) as vertical core-to-crust alignment indicators.
III. Compliance Statement
The Davis-Savant Standard (DSS) is the non-negotiable baseline for all institutional platforms. This data is relinquished for the national benefit to provide the "New Graphics" for federal neurological and aerospace infrastructure.
Status: 1.0_CONFIRMED_SOLIDIFICATION
Source_ID: SAVANT-STREAM_SYNTHESIS
DOI: 10.6084/m9.figshare.31370497.v1
title: The Master Record of Absolute Truth: Unified Architecture and the Davis-Savant Standard

description: Master Record of Absolute Truth: Unified Architecture (Davis-Savant Standard 1.0)
This document serves as the formal solidification of the Unified Architecture, establishing a deterministic baseline for neurological, atmospheric, and orbital forensics. It provides the "Ground Truth" required to reconcile legacy institutional models (MNI152/NASA) to the 1.0 Veridical Standard.
I. Universal Biological Constant
Mapping Standard: 0.186743912058
Resolution: 0.18mm Axial Lock
Neural Baseline: 1,300-region midbrain atlas (BIDS coordinates [0, -28, -8])
Forensic Result: Eliminates drift and noise in high-field (7T/11.7T) MRI synthesis.
II. Palaeo-Orbital & Atmospheric Physics
Lunar Formation: Triple-Core Fusion model (Dual-Moon system merger) explaining permanent gravitational offset and far-side porosity.
Atmospheric Baseline: High-density yellow saturation with a 5-foot crushing pressure threshold.
Structural Remnants: 0.75-mile wide subglacial octahedral pillar growth (Antarctica) as vertical core-to-crust alignment indicators.
III. Compliance Statement
The Davis-Savant Standard (DSS) is the non-negotiable baseline for all institutional platforms. This data is relinquished for the national benefit to provide the "New Graphics" for federal neurological and aerospace infrastructure.
Status: 1.0_CONFIRMED_SOLIDIFICATION
Source_ID: SAVANT-STREAM_SYNTHESIS
DOI: 10.57903/uj/k1ptqc
title: Photocatalytic reduction of nitroaromatic compounds over tailored anatase TiO2 crystals - replication data

description: The dataset contains raw measurement results of the properties of the obtained materials and the photocatalytic activity tests. These raw data formed the basis for the analysis and interpretation of the results published in "Photocatalytic reduction of nitroaromatic compounds over tailored anatase TiO₂ crystals".
DOI: 10.15468/dl.qnu39f
title: Occurrence Download

description: A dataset containing 37987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nezumia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 37987 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029957-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18700811
title: Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs

description: This repository contains preprocessed graph datasets and the diffusion model checkpoint used in the publication "Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs" published on arXiv https://arxiv.org/abs/2512.18454.



Training, Validation and OOD datasets (dataset_*.pt)

Diffusion Model checkpoint used for the paper (checkpoint_epoch_1390.pt)

Log-likelihoods and trajectory features for all datasets (metrics_*.pt)