cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1214967.10fu
title: SH1214967.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1214968.10fu
title: SH1214968.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1214969.10fu
title: SH1214969.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3535/mv6-g2c-4vd
title: Metacarcinus magister (Dana, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.nzhshj
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corchorus trilocularis L.",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105706-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/362-vsh-6zd
title: Gecarcinus lateralis Guérin, 1832

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cq8-ca8-amd
title: Hippolyte Leach, 1814

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/39xs8th543
title: Students suspicious behaviors detection dataset for AI-powered online exam proctoring

description: Our research hypothesizes that student cheating during online exams can be accurately detected through multimodal analysis of visual behavioral cues captured via standard webcams. By combining facial movements, hand gestures, gaze tracking, head pose, and phone interaction data, AI-based proctoring systems can identify dishonest behavior. To validate this, we developed this dataset, specifically designed to support the training, testing, and benchmarking of machine learning models for automated and scalable online exam proctoring.

What the Data Shows
The dataset consists of 5,500 structured records, each representing a snapshot of a student’s behavior during an online exam. Each record includes 38 attributes extracted using computer vision techniques and classified into two categories [see Table 1]:
 • Cheating behavior (label = 1)
 • Non-cheating behavior (label = 0)
The class distribution is nearly balanced, with 2,619 cheating and 2,881 non-cheating instances, making it suitable for supervised binary classification tasks. The recorded features fall under the following categories:
 • Face Detection: Captures face presence, count, bounding box, and key landmarks.
 • Hand Tracking: Records hand count, positions, and object interaction status.
 • Head Pose Estimation: Includes pitch, yaw, and roll angles indicating head orientation.
 • Mobile Phone Detection: Indicates phone presence, location, and detection confidence.
 • Eye Gaze Tracking: Tracks gaze direction, screen focus, gaze points, and pupil positions.

How the Data Was Gathered
Data were collected in a controlled, simulated online exam environment using a standard webcam and implemented with computer vision modules. The system used:
 • MediaPipe for real-time face and hand tracking.
 • OpenCV for image processing and frame analysis.
 • Custom models for gaze estimation, head pose, and mobile phone detection.

Notable Findings
Machine learning models like Random Forest and XGBoost achieved high precision and recall on this dataset. Notably:
 • Hand-object interactions and phone presence are key indicators of cheating.
 • Head pose deviations and off-screen gaze also suggest suspicious behavior.
 • Combining multiple behavioral cues enhances detection accuracy over single-modality approaches.

How the Data Can Be Interpreted and Used
This dataset is designed for researchers, developers, and educators aiming to:
 • Build AI-powered online proctoring systems
 • Develop behavior recognition models for academic monitoring
 • Benchmark cheating detection techniques in machine learning and computer vision
 • Explore the ethical implications of surveillance technologies in education
Each record is fully anonymized, containing no raw images or personal identifiers, making it safe for public research use. The structured numerical format ensures compatibility with various machine learning libraries and tools.
DOI: 10.3535/meg-0h7-0da
title: Palaemon elegans Rathke, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ept-6sy-p05
title: Inachus phalangium (Fabricius, 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zgk-0lb-cpr
title: Eriphia verrucosa (Forskål, 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5878/8h1c-qp41
title: Sweden now 1980-II_5
title: ORVESTO 1980-II_5
title: Sverige nu 1980-II

description: A major part of this survey is a replication of earlier surveys. Questions about life style and decisional power at work are back again after being removed the year before. New questions deals with how much of the content the respondent reads in different papers

Purpose:

Collect broad information about interests, purchasing habits and media choices
description: A major part of this survey is a replication of earlier surveys. Questions about life style and decisional power at work are back again after being removed the year before. New questions deals with how much of the content the respondent reads in different papers

Syfte:

Samla in en bred information om intressen, köpvanor och mediaval

Subset of Sweden now 1980-II, covering the period 1980-05-08 to 1980-06-19.
DOI: 10.17632/39xs8th543.1
title: Students suspicious behaviors detection dataset for AI-powered online exam proctoring

description: Our research hypothesizes that student cheating during online exams can be accurately detected through multimodal analysis of visual behavioral cues captured via standard webcams. By combining facial movements, hand gestures, gaze tracking, head pose, and phone interaction data, AI-based proctoring systems can identify dishonest behavior. To validate this, we developed this dataset, specifically designed to support the training, testing, and benchmarking of machine learning models for automated and scalable online exam proctoring.

What the Data Shows
The dataset consists of 5,500 structured records, each representing a snapshot of a student’s behavior during an online exam. Each record includes 38 attributes extracted using computer vision techniques and classified into two categories [see Table 1]:
 • Cheating behavior (label = 1)
 • Non-cheating behavior (label = 0)
The class distribution is nearly balanced, with 2,619 cheating and 2,881 non-cheating instances, making it suitable for supervised binary classification tasks. The recorded features fall under the following categories:
 • Face Detection: Captures face presence, count, bounding box, and key landmarks.
 • Hand Tracking: Records hand count, positions, and object interaction status.
 • Head Pose Estimation: Includes pitch, yaw, and roll angles indicating head orientation.
 • Mobile Phone Detection: Indicates phone presence, location, and detection confidence.
 • Eye Gaze Tracking: Tracks gaze direction, screen focus, gaze points, and pupil positions.

How the Data Was Gathered
Data were collected in a controlled, simulated online exam environment using a standard webcam and implemented with computer vision modules. The system used:
 • MediaPipe for real-time face and hand tracking.
 • OpenCV for image processing and frame analysis.
 • Custom models for gaze estimation, head pose, and mobile phone detection.

Notable Findings
Machine learning models like Random Forest and XGBoost achieved high precision and recall on this dataset. Notably:
 • Hand-object interactions and phone presence are key indicators of cheating.
 • Head pose deviations and off-screen gaze also suggest suspicious behavior.
 • Combining multiple behavioral cues enhances detection accuracy over single-modality approaches.

How the Data Can Be Interpreted and Used
This dataset is designed for researchers, developers, and educators aiming to:
 • Build AI-powered online proctoring systems
 • Develop behavior recognition models for academic monitoring
 • Benchmark cheating detection techniques in machine learning and computer vision
 • Explore the ethical implications of surveillance technologies in education
Each record is fully anonymized, containing no raw images or personal identifiers, making it safe for public research use. The structured numerical format ensures compatibility with various machine learning libraries and tools.
DOI: 10.3535/ph6-38b-fqb
title: Planes minutus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/esz-2h4-dml
title: Inachus dorsettensis (Pennant, 1777)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q0r-gb1-hnl
title: Atyaephyra desmarestii (Millet, 1831)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bhq-jdq-1zv
title: Sabinea septemcarinata (Sabine, 1824)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w1a-22d-g4m
title: Xiphocaris elongata (Guérin-Méneville, 1855)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3z2-qme-3j9
title: Mierspenaeopsis hardwickii (Miers, 1878)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/48b-sfj-qd9
title: Macropodia tenuirostris (Leach, 1814)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/n2b35539kj
title: Human-Centric AIoT and Swarm Intelligence for Dynamic Energy Optimization and Decision-Making in Smart Factories

description: The convergence of Artificial Intelligence of Things (AIoT) and Swarm Intelligence (SI) represents a transformative shift in smart manufacturing, particularly when designed to include human-in-the-loop feedback. This paper proposes a unified framework for real-time energy optimization, dynamic pricing response, and collaborative decision-making using AI-driven forecasting, swarm coordination, and human oversight. A synthetic dataset simulating four factories shows strong correlations between AI prediction accuracy, energy cost reduction, swarm agent efficiency, and supervisory interventions. The results suggest such hybrid systems reduce energy waste, increase resilience, and enable ethically aligned industrial automation.
DOI: 10.3535/a97-kem-rvf
title: Stenopus hispidus (Olivier, 1811)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/n2b35539kj.1
title: Human-Centric AIoT and Swarm Intelligence for Dynamic Energy Optimization and Decision-Making in Smart Factories

description: The convergence of Artificial Intelligence of Things (AIoT) and Swarm Intelligence (SI) represents a transformative shift in smart manufacturing, particularly when designed to include human-in-the-loop feedback. This paper proposes a unified framework for real-time energy optimization, dynamic pricing response, and collaborative decision-making using AI-driven forecasting, swarm coordination, and human oversight. A synthetic dataset simulating four factories shows strong correlations between AI prediction accuracy, energy cost reduction, swarm agent efficiency, and supervisory interventions. The results suggest such hybrid systems reduce energy waste, increase resilience, and enable ethically aligned industrial automation.
DOI: 10.3535/4sz-l71-qvb
title: Anapagurus hyndmanni (Bell, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ax-sax-fdm
title: Hippa caelano (De Man, 1896)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pzz-tcw-qca
title: Hyas coarctatus Leach, 1815

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m5c-wxz-j7a
title: Sicyonia dorsalis Kingsley, 1878

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qf3-088-008
title: Hapalocarcinus marsupialis Stimpson, 1859

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ln-c8e-x3k
title: Athanas nitescens (Leach, 1813)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bbk-742-nwr
title: Latreutes fucorum (J. C. Fabricius, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bws-962-4lw
title: Astacus astacus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8wm-7wm-7mr
title: Parthenopoides massena (Roux, 1830)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n2p-a2p-jv0
title: Metapenaeus ensis (De Haan, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/57b-2qk-c62
title: Chlorodiella nigra (Forskål, 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hn8-ltb-se4
title: Athanas nitescens (Leach, 1813)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r49-3as-ell
title: Rimapenaeus similis (S. I. Smith, 1885)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yrz-83b-4ap
title: Acanthacaris caeca (A. Milne-Edwards, 1881)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wj7-p6e-a70
title: Potimirim mexicana (de Saussure, 1857)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6w6-n9v-ywz
title: Pilumnopeus africanus (De Man, 1902)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7sc-2dk-kfa
title: Pandalus danae Stimpson, 1857

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q6c-awv-wrn
title: Alcockpenaeopsis hungerfordii (Alcock, 1905)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v3r-297-jsn
title: Hepatus pudibundus (Herbst, 1785)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1rw-sgy-7ph
title: Brachynotus foresti Zariquiey Álvarez, 1968

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kna-70l-fv0
title: Xiphocaris elongata (Guérin-Méneville, 1855)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/law-qsz-7aj
title: Macrobrachium lar (J. C. Fabricius, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tk5-a5l-a6n
title: Parthenopoides massena (Roux, 1830)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a40-7sy-qqh
title: Calappa hepatica (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hbd-xrz-pgk
title: Macrobrachium sintangense (De Man, 1898)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rxj-k6h-ne3
title: Medorippe lanata (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/79syvxxkyg
title: From Birthday Cheers to Privacy Fears: Unravelling the Paradox of Social Media Celebrations in Nigeria

description: Supplementary appendix for the PST 2025 conference paper “From Birthday Cheers to Privacy Fears: Unravelling the Paradox of Social Media Celebrations in Nigeria.”

The file (PDF, 3 pages) contains:
• complete measurement scales used in the PLS-SEM model (Social Gratification, Social Media Usage, Disclosure, Knowledge)
• item loadings, Cronbach’s α, composite reliability, AVE
• HTMT ratios and measurement-invariance (compositional, mean, variance) permutation tests
• mapping of adapted gratification items to original source items

These materials support the results reported in Sections 3–5 of the main paper.
DOI: 10.3535/4t8-ens-zkh
title: Penaeus hathor (Burkenroad, 1959)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y74-fjg-tfd
title: Palaemon concinnus Dana, 1852

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fyw-2le-chn
title: Heptacarpus stimpsoni Holthuis, 1947

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/79syvxxkyg.1
title: From Birthday Cheers to Privacy Fears: Unravelling the Paradox of Social Media Celebrations in Nigeria

description: Supplementary appendix for the PST 2025 conference paper “From Birthday Cheers to Privacy Fears: Unravelling the Paradox of Social Media Celebrations in Nigeria.”

The file (PDF, 3 pages) contains:
• complete measurement scales used in the PLS-SEM model (Social Gratification, Social Media Usage, Disclosure, Knowledge)
• item loadings, Cronbach’s α, composite reliability, AVE
• HTMT ratios and measurement-invariance (compositional, mean, variance) permutation tests
• mapping of adapted gratification items to original source items

These materials support the results reported in Sections 3–5 of the main paper.
DOI: 10.3535/faj-3yg-t04
title: Pilumnus spinifer H. Milne Edwards, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n3v-r73-lx6
title: Carcinus maenas (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/agj-7xd-d25
title: Palaemon concinnus Dana, 1852

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x2c-vg3-8zp
title: Caridina togoensis Hilgendorf, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lzs-5ev-qx0
title: Aniculus ursus (Olivier, 1812)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tdl-f4b-m88
title: Lepidophthalmus Holmes, 1904

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v3g-f49-7vw
title: Pagurus anachoretus Risso, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6qh-7j3-bj0
title: Parapenaeopsis stylifera (H. Milne Edwards, 1837)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e8s-mj4-jf2
title: Ostracotheres tridacnae (Rüppell, 1830)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z4x-ndc-q2r
title: Dactylonida curvimana (A. Milne-Edwards & Bouvier, 1894)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8bl-39e-67g
title: Catapaguroides microps A. Milne-Edwards & Bouvier, 1892

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/db1-2s2-w4t
title: Xantho poressa (Olivi, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pph-vtj-6yk
title: Acanthephyra eximia S. I. Smith, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pvj-bka-20v
title: Plesionika heterocarpus (A. Costa, 1871)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/17x-pr6-89x
title: Portunus pelagicus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/343-8mq-tc0
title: Pacifastacus leniusculus (Dana, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vzx-ndr-zeb
title: Clibanarius erythropus (Latreille, 1818)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qah-qc3-h7z
title: Heptacarpus rectirostris (Stimpson, 1860)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.