cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5ik38a
title: Occurrence Download

description: A dataset containing 1400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thuja plicata Donn ex D.Don",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2017",
 "DecimalLongitude is greater than or equal to -15",
 "DecimalLongitude is less than or equal to 40",
 "DecimalLatitude is greater than or equal to 30",
 "DecimalLatitude is less than or equal to 75"
 ]
}

 The dataset includes 1400 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009029-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnuzh9
title: Occurrence Download

description: A dataset containing 1588 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus canariensis Willd."
 ]
}

 The dataset includes 1588 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009030-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.patmqc
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros ghatensis B.R.Ramesh & D.De Franceschi"
 ]
}

 The dataset includes 39 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023033-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mc9c2y
title: Occurrence Download

description: A dataset containing 42939394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poecile palustris (Linnaeus, 1758), Poecile carolinensis (Audubon, 1834), Poecile atricapillus (Linnaeus, 1766), Poecile gambeli (Ridgway, 1886), Poecile hudsonicus (J.R.Forster, 1772), Poecile rufescens (J.K.Townsend, 1837), Cyanistes caeruleus (Linnaeus, 1758), Parus major Linnaeus, 1758, Auriparus flaviceps (Sundevall, 1850), Calendulauda rufa (Lynes, 1920))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 42939394 records from 4981 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023019-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hs26nw
title: Occurrence Download

description: A dataset containing 1245 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 Cisticola rufus (Fraser, 1843)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1245 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065908-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15723971
title: c02s2r24
DOI: 10.5281/zenodo.15723972
title: c02s2r24
DOI: 10.15468/dl.qv6tsa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragilaria ulna Kitton",
 "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 ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065910-250525065834625/datasets/export for details.
DOI: 10.15468/dl.2nj6g7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragilaria ulna Kitton",
 "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 ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065912-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jwymnq
title: Occurrence Download

description: A dataset containing 5083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ursus maritimus Phipps, 1774"
 ]
}

 The dataset includes 5083 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065913-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29386898
title: Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection

description: Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection:This repository contains a preprocessed and feature-engineered dataset derived from raw mouse dynamics logs. The preprocessing pipeline was developed in Python and transforms low-level cursor activity into structured, high-dimensional behavioral features. The dataset is suitable for advanced research and practical applications in anomaly detection, behavioral biometrics, and cyber threat analytics.Preprocessing WorkflowThe preprocessing logic performs a comprehensive transformation of the raw data using the following stages:Raw Data IngestionCaptures the following fields from each mouse event:<code>x</code>, <code>y</code> coordinates<code>client_timestamp</code> (in milliseconds)Mouse <code>button</code> and <code>state</code> (Pressed/Released)Active application <code>window</code>Data is sourced from three subdirectories per user: <code>training</code>, <code>internal_tests</code>, and <code>external_tests</code>Kinematic Feature ComputationDerives time-dependent physical features:<code>velocity</code>, <code>acceleration</code>, <code>jerk</code>, and <code>curvature</code>Accounts for timestamp anomalies, division-by-zero, and missing valuesApplies directional smoothing and curvature approximation using angular differencesSession-Based Feature EngineeringComputes the following per session:<code>session_duration</code>, <code>total_distance</code><code>num_actions</code>, <code>num_clicks</code>, <code>num_strokes</code><code>mean_time_per_action</code>, <code>avg_drag_time</code>Statistical AggregationFor each derived motion variable, the following descriptors are computed:<code>mean</code>, <code>std</code>, <code>min</code>, <code>max</code>, <code>median</code>, <code>25th percentile (q25)</code>, <code>75th percentile (q75)</code>Label AlignmentMerges session-level features with binary labels from <code>labels.csv</code><code>risk = 0</code>: Normal session<code>risk = 1</code>: Anomalous session (e.g., unauthorized access)Ensures every row is traceable via <code>session_name</code>Output GenerationFinal output: <code>featurized_mouse_data.csv</code>Includes:All engineered features<code>session_name</code>, <code>serial_no.</code>, and <code>risk</code> labelFeature OverviewThe dataset includes over 38 features for each session, categorized into:Behavioral: Session time, distance, clicks, strokesKinematic: Velocity, acceleration, jerk, curvature (with summary stats)Interaction Metrics: Average drag time, time per actionApplicationsThis dataset is designed for academic and industrial use in:Insider threat and anomaly detection researchBehavioral biometric authentication modelsMouse-based session profiling and user verificationUnsupervised and semi-supervised machine learning pipelinesData Integrity and LoggingA robust logging system records all processing steps in <code>mouse_data_processing.log</code>Invalid or corrupt sessions are automatically skipped with traceable warnings
DOI: 10.6084/m9.figshare.29386898.v1
title: feature_engineered_mouse_data.csv

description: Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection:This repository contains a preprocessed and feature-engineered dataset derived from raw mouse dynamics logs. The preprocessing pipeline was developed in Python and transforms low-level cursor activity into structured, high-dimensional behavioral features. The dataset is suitable for advanced research and practical applications in anomaly detection, behavioral biometrics, and cyber threat analytics.Preprocessing WorkflowThe preprocessing logic performs a comprehensive transformation of the raw data using the following stages:Raw Data IngestionCaptures the following fields from each mouse event:<code>x</code>, <code>y</code> coordinates<code>client_timestamp</code> (in milliseconds)Mouse <code>button</code> and <code>state</code> (Pressed/Released)Active application <code>window</code>Data is sourced from three subdirectories per user: <code>training</code>, <code>internal_tests</code>, and <code>external_tests</code>Kinematic Feature ComputationDerives time-dependent physical features:<code>velocity</code>, <code>acceleration</code>, <code>jerk</code>, and <code>curvature</code>Accounts for timestamp anomalies, division-by-zero, and missing valuesApplies directional smoothing and curvature approximation using angular differencesSession-Based Feature EngineeringComputes the following per session:<code>session_duration</code>, <code>total_distance</code><code>num_actions</code>, <code>num_clicks</code>, <code>num_strokes</code><code>mean_time_per_action</code>, <code>avg_drag_time</code>Statistical AggregationFor each derived motion variable, the following descriptors are computed:<code>mean</code>, <code>std</code>, <code>min</code>, <code>max</code>, <code>median</code>, <code>25th percentile (q25)</code>, <code>75th percentile (q75)</code>Label AlignmentMerges session-level features with binary labels from <code>labels.csv</code><code>risk = 0</code>: Normal session<code>risk = 1</code>: Anomalous session (e.g., unauthorized access)Ensures every row is traceable via <code>session_name</code>Output GenerationFinal output: <code>featurized_mouse_data.csv</code>Includes:All engineered features<code>session_name</code>, <code>serial_no.</code>, and <code>risk</code> labelFeature OverviewThe dataset includes over 38 features for each session, categorized into:Behavioral: Session time, distance, clicks, strokesKinematic: Velocity, acceleration, jerk, curvature (with summary stats)Interaction Metrics: Average drag time, time per actionApplicationsThis dataset is designed for academic and industrial use in:Insider threat and anomaly detection researchBehavioral biometric authentication modelsMouse-based session profiling and user verificationUnsupervised and semi-supervised machine learning pipelinesData Integrity and LoggingA robust logging system records all processing steps in <code>mouse_data_processing.log</code>Invalid or corrupt sessions are automatically skipped with traceable warnings
DOI: 10.6084/m9.figshare.29386898.v2
title: Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection

description: Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection:This repository contains a preprocessed and feature-engineered dataset derived from raw mouse dynamics logs. The preprocessing pipeline was developed in Python and transforms low-level cursor activity into structured, high-dimensional behavioral features. The dataset is suitable for advanced research and practical applications in anomaly detection, behavioral biometrics, and cyber threat analytics.Preprocessing WorkflowThe preprocessing logic performs a comprehensive transformation of the raw data using the following stages:Raw Data IngestionCaptures the following fields from each mouse event:<code>x</code>, <code>y</code> coordinates<code>client_timestamp</code> (in milliseconds)Mouse <code>button</code> and <code>state</code> (Pressed/Released)Active application <code>window</code>Data is sourced from three subdirectories per user: <code>training</code>, <code>internal_tests</code>, and <code>external_tests</code>Kinematic Feature ComputationDerives time-dependent physical features:<code>velocity</code>, <code>acceleration</code>, <code>jerk</code>, and <code>curvature</code>Accounts for timestamp anomalies, division-by-zero, and missing valuesApplies directional smoothing and curvature approximation using angular differencesSession-Based Feature EngineeringComputes the following per session:<code>session_duration</code>, <code>total_distance</code><code>num_actions</code>, <code>num_clicks</code>, <code>num_strokes</code><code>mean_time_per_action</code>, <code>avg_drag_time</code>Statistical AggregationFor each derived motion variable, the following descriptors are computed:<code>mean</code>, <code>std</code>, <code>min</code>, <code>max</code>, <code>median</code>, <code>25th percentile (q25)</code>, <code>75th percentile (q75)</code>Label AlignmentMerges session-level features with binary labels from <code>labels.csv</code><code>risk = 0</code>: Normal session<code>risk = 1</code>: Anomalous session (e.g., unauthorized access)Ensures every row is traceable via <code>session_name</code>Output GenerationFinal output: <code>featurized_mouse_data.csv</code>Includes:All engineered features<code>session_name</code>, <code>serial_no.</code>, and <code>risk</code> labelFeature OverviewThe dataset includes over 38 features for each session, categorized into:Behavioral: Session time, distance, clicks, strokesKinematic: Velocity, acceleration, jerk, curvature (with summary stats)Interaction Metrics: Average drag time, time per actionApplicationsThis dataset is designed for academic and industrial use in:Insider threat and anomaly detection researchBehavioral biometric authentication modelsMouse-based session profiling and user verificationUnsupervised and semi-supervised machine learning pipelinesData Integrity and LoggingA robust logging system records all processing steps in <code>mouse_data_processing.log</code>Invalid or corrupt sessions are automatically skipped with traceable warnings
DOI: 10.15468/dl.b75k8j
title: Occurrence Download

description: A dataset containing 58490773 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is one of (Colombia, Bolivia (Plurinational State of), Ecuador, Peru)"
 ]
}

 The dataset includes 58490773 records from 6637 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065889-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3ng7f
title: Occurrence Download

description: A dataset containing 73453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-5.7145 37.60209,-6.10174 37.41009,-6.09206 37.08643,-6.4793 36.80015,-6.10174 36.23998,-5.56928 35.97405,-5.31758 36.13841,-5.12396 36.42715,-4.85289 36.48166,-4.53341 36.50501,-4.34947 36.71483,-4.27203 37.25614,-4.80448 37.57908,-5.3563 37.68641,-5.7145 37.60209))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 73453 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019032-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3h2seb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acanthoscelides obtectus (Say, 1831), Bruchus pisorum Linnaeus, 1758, Bruchus rufimanus Boheman, 1833, Buddleja davidii Franch., Callosobruchus chinensis (Linnaeus, 1758), Columba livia J.F.Gmelin, 1789, Dama dama (Linnaeus, 1758), Entoleuca mammata (Wahlenb.) J.D.Rogers & Y.M.Ju, Equisetum palustre L., Genetta genetta (Linnaeus, 1758), Hypoponera punctatissima (Roger, 1859), Impatiens balfourii Hook.fil., Lasius neglectus Van Loon, Boomsma & Andrasfalvy, 1990, Leptinotarsa decemlineata (Say, 1824), Marmota marmota (Linnaeus, 1758), Monochamus sutor (Linnaeus, 1758), Mustela vison Schreber, 1777, Ondatra zibethicus (Linnaeus, 1766), Ovis aries musimon (Pallas, 1811), Pentarthrum confine Broun, 1881, Perdix perdix (Linnaeus, 1758), Phasianus colchicus Linnaeus, 1758, Pseudoperonospora cubensis (Berk. & M.A.Curtis) Rostovzev, Senecio inaequidens DC., BOLD:ABV3227)",
 "Country is Portugal",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019033-241024112534372/datasets/export for details.
DOI: 10.6084/m9.figshare.25856872
title: A Tool-assisted Training Approach for Empowering Localization and Internationalization Testing Proficiency - Supplementary Material

description: Supplementary material for the article "A Tool-assisted Training Approach for Empowering Localization and Internationalization Testing Proficiency", under review at the 18th IEEE International<br>Conference on Software Testing, Verification and Validation (ICST)<br>2025<br>Contents:- Experimental Plan- Recruitment Form- Consent Form- TTT Walk-through- TTT SUS form- TTT SUS form responses- TTT evaluation form (qualitative study)
DOI: 10.6084/m9.figshare.25856872.v5
title: A Tool-assisted Training Approach for Empowering Localization and Internationalization Testing Proficiency - Supplementary Material

description: Supplementary material for the article "A Tool-assisted Training Approach for Empowering Localization and Internationalization Testing Proficiency", under review at the Technical Symposium on Computer Science Education (SIGCSE TS), 2025.<br>Contents: - Experimental Plan - Recruitment Form - Consent Form - TTT Walk-through - TTT evaluation form (qualitative study)
DOI: 10.15468/dl.tatn7a
title: Occurrence Download

description: A dataset containing 2005206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clupea pallasii Valenciennes, 1847"
 ]
}

 The dataset includes 2005206 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019034-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4s6cj
title: Occurrence Download

description: A dataset containing 108652065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PhylumKey is Tracheophyta",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 108652065 records from 2312 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019022-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92w5nc
title: Occurrence Download

description: A dataset containing 1199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meconopsis integrifolia"
 ]
}

 The dataset includes 1199 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008283-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs6zdf
title: Occurrence Download

description: A dataset containing 2305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Tridentiger bifasciatus, Tridentiger barbatus)"
 ]
}

 The dataset includes 2305 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008285-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgc4xe
title: Occurrence Download

description: A dataset containing 504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psephellus dealbatus",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 504 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008290-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fq53x
title: Occurrence Download

description: A dataset containing 3779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Flacourtia indica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3779 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008286-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tuda9
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psephellus dealbatus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008288-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek8k5q
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psephellus dealbatus",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008289-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r1546877
title: Generative AI, programming reflection, and online classroom quality: five empirical studies with student outcomes

description: This table summarizes five research papers covering gamified blended learning, VR-based prewriting, knowledge building, technology adoption, and ChatGPT-assisted STEM lesson planning. It presents detailed parameters including authors, year, DOI, participants, study design, frameworks, outcomes, results, and limitations, enabling structured comparison of educational innovations across multiple contexts, methodologies, and technological platforms.