cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dyn6yf
title: Occurrence Download

description: A dataset containing 2768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thalictrum aquilegiifolium)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2768 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002448-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3wkgd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-79.608 -0.620816, -79.67826700000001 -0.626383, -79.74680499999999 -0.642945, -79.811925 -0.670095, -79.87202600000001 -0.707166, -79.925628 -0.753243, -79.971411 -0.807193, -80.008247 -0.867688, -80.03523 -0.933239, -80.051695 -1.002231, -80.057236 -1.072967, -80.051715 -1.143704, -80.035269 -1.212701, -80.00830000000001 -1.278259, -79.971473 -1.338763, -79.92569399999999 -1.392723, -79.872089 -1.438811, -79.81197899999999 -1.47589, -79.746844 -1.503047, -79.67828799999999 -1.519614, -79.608 -1.525182, -79.537712 -1.519614, -79.469156 -1.503047, -79.404021 -1.47589, -79.34391100000001 -1.438811, -79.290306 -1.392723, -79.24452700000001 -1.338763, -79.2077 -1.278259, -79.18073099999999 -1.212701, -79.16428500000001 -1.143704, -79.15876400000001 -1.072967, -79.164305 -1.002231, -79.18077 -0.933239, -79.207753 -0.867688, -79.244589 -0.807193, -79.290372 -0.753243, -79.343974 -0.707166, -79.40407500000001 -0.670095, -79.469195 -0.642945, -79.537733 -0.626383, -79.608 -0.620816))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002449-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pseg9q
title: Occurrence Download

description: A dataset containing 1185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.20779 45.90261,5.22214 45.89067,5.25371 45.90698,5.27212 45.91305,5.3027 45.91262,5.31018 45.91327,5.31145 45.92218,5.29586 45.92609,5.26746 45.9224,5.24906 45.92044,5.22971 45.91285,5.20779 45.90261))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2016-2026"
 ]
}

 The dataset includes 1185 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002450-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejt5em
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.77 -1.57882, 112.69971 -1.584385, 112.63115 -1.600946, 112.566007 -1.628092, 112.505883 -1.665158, 112.452258 -1.711231, 112.406454 -1.765176, 112.369597 -1.825667, 112.342595 -1.891213, 112.326114 -1.960203, 112.320562 -2.030937, 112.326076 -2.101674, 112.342521 -2.170673, 112.369495 -2.236233, 112.406335 -2.296741, 112.452134 -2.350705, 112.505764 -2.396797, 112.565905 -2.43388, 112.631077 -2.46104, 112.699672 -2.477609, 112.77 -2.483178, 112.840328 -2.477609, 112.908923 -2.46104, 112.974095 -2.43388, 113.034236 -2.396797, 113.087866 -2.350705, 113.133665 -2.296741, 113.170505 -2.236233, 113.197479 -2.170673, 113.213924 -2.101674, 113.219438 -2.030937, 113.213886 -1.960203, 113.197405 -1.891213, 113.170403 -1.825667, 113.133546 -1.765176, 113.087742 -1.711231, 113.034117 -1.665158, 112.973993 -1.628092, 112.90885 -1.600946, 112.84029 -1.584385, 112.77 -1.57882))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002452-260119153935675/datasets/export for details.
DOI: 10.15468/dl.k9g38m
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachymelecta tibialis"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002451-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18310622
title: Compound-specific and bulk 14C and 2H isotopes from the Kueishantao hydrothermal system

description: This dataset includes data from the Kueishantao shallow-water hydrothermal system (Taiwan). 

The first Excel sheet (POC_isotopes) includes radiocarbon contents (Δ14C), stable carbon isotope compositions (δ13C), and concentrations of particulate organic carbon (POC) for water column samples collected at different distances and depths relative to the yellow and white vents, together with associated metadata and analytical uncertainties. Some values were compiled from previously published datasets due to sample availability. For the samples directly above the vent orifice (in cursive), POC in mg L-1 were taken from Lin et al. 2020 (https://doi.org/10.1016/j.margeo.2020.106121), while F14C and δ13C values of POC were taken from Wang et al. 2022 (https://doi.org/10.1029/2022GC010508).

The second Excel sheet (Hydrogen_isotopes_water_fluid) contains hydrogen stable isotope compositions (δ2H, VSMOW) of vent fluids and water column samples along a horizontal transect away from the vents, including distances from the vent orifice.

The third Excel sheet (Compound_specific_radiocarbon_hydrogen_isotopes) reports compound-specific radiocarbon (Δ14C) and hydrogen isotope (δ2H) data for individual fatty acids, along with measurement targets, carbon masses, and analytical errors. One compound was lost during radiocarbon analysis and is reported as not determined (n.d.).
DOI: 10.5281/zenodo.18310623
title: Compound-specific and bulk 14C and 2H isotopes from the Kueishantao hydrothermal system

description: This dataset includes data from the Kueishantao shallow-water hydrothermal system (Taiwan). 

The first Excel sheet (POC_isotopes) includes radiocarbon contents (Δ14C), stable carbon isotope compositions (δ13C), and concentrations of particulate organic carbon (POC) for water column samples collected at different distances and depths relative to the yellow and white vents, together with associated metadata and analytical uncertainties. Some values were compiled from previously published datasets due to sample availability. For the samples directly above the vent orifice (in cursive), POC in mg L-1 were taken from Lin et al. 2020 (https://doi.org/10.1016/j.margeo.2020.106121), while F14C and δ13C values of POC were taken from Wang et al. 2022 (https://doi.org/10.1029/2022GC010508).

The second Excel sheet (Hydrogen_isotopes_water_fluid) contains hydrogen stable isotope compositions (δ2H, VSMOW) of vent fluids and water column samples along a horizontal transect away from the vents, including distances from the vent orifice.

The third Excel sheet (Compound_specific_radiocarbon_hydrogen_isotopes) reports compound-specific radiocarbon (Δ14C) and hydrogen isotope (δ2H) data for individual fatty acids, along with measurement targets, carbon masses, and analytical errors. One compound was lost during radiocarbon analysis and is reported as not determined (n.d.).
DOI: 10.15468/dl.ehvphe
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-79.47 -0.5138160000000001, -79.540266 -0.519383, -79.608802 -0.535945, -79.67392100000001 -0.563096, -79.734021 -0.600167, -79.787621 -0.646244, -79.83340200000001 -0.700195, -79.870237 -0.760691, -79.897218 -0.826242, -79.913681 -0.895234, -79.91922099999999 -0.96597, -79.91370000000001 -1.036707, -79.89725300000001 -1.105704, -79.870285 -1.171261, -79.83345799999999 -1.231765, -79.78767999999999 -1.285725, -79.734077 -1.331812, -79.673969 -1.368891, -79.60883699999999 -1.396048, -79.540284 -1.412615, -79.47 -1.418183, -79.399716 -1.412615, -79.331163 -1.396048, -79.266031 -1.368891, -79.205923 -1.331812, -79.15232 -1.285725, -79.106542 -1.231765, -79.069715 -1.171261, -79.04274700000001 -1.105704, -79.02630000000001 -1.036707, -79.020779 -0.96597, -79.026319 -0.895234, -79.042782 -0.826242, -79.06976299999999 -0.760691, -79.10659800000001 -0.700195, -79.152379 -0.646244, -79.205979 -0.600167, -79.266079 -0.563096, -79.331198 -0.535945, -79.399734 -0.519383, -79.47 -0.5138160000000001))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002454-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8b7666
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thalictrum flavum, Thalictrum flavum, Thalictrum flavum, Thalictrum flavum, Thalictrum morisonii)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 70 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002453-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18311368
title: Sida cordifolia L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.v57q7b
title: Occurrence Download

description: A dataset containing 214025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "TaxonKey is Oenanthe oenanthe"
 ]
}

 The dataset includes 214025 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002404-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18311367
title: Sida cordifolia L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.x97qfk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.672 -1.57782, 112.60171 -1.583385, 112.53315 -1.599946, 112.468007 -1.627092, 112.407883 -1.664158, 112.354259 -1.710231, 112.308454 -1.764176, 112.271597 -1.824667, 112.244595 -1.890213, 112.228115 -1.959203, 112.222562 -2.029937, 112.228076 -2.100674, 112.244522 -2.169673, 112.271496 -2.235233, 112.308335 -2.295741, 112.354134 -2.349705, 112.407764 -2.395797, 112.467906 -2.43288, 112.533077 -2.46004, 112.601672 -2.476609, 112.672 -2.482178, 112.742328 -2.476609, 112.810923 -2.46004, 112.876094 -2.43288, 112.936236 -2.395797, 112.989866 -2.349705, 113.035665 -2.295741, 113.072504 -2.235233, 113.099478 -2.169673, 113.115924 -2.100674, 113.121438 -2.029937, 113.115885 -1.959203, 113.099405 -1.890213, 113.072403 -1.824667, 113.035546 -1.764176, 112.989741 -1.710231, 112.936117 -1.664158, 112.875993 -1.627092, 112.81085 -1.599946, 112.74229 -1.583385, 112.672 -1.57782))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002455-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18311200
title: REAL SENTIENT AI

description: REAL SENTIENT AI

Title: Master Restricted Intellectual Property License (All Rights Reserved — No Derivatives)
DOI: 10.5281/zenodo.18311199
title: REAL SENTIENT AI

description: REAL SENTIENT AI

Title: Master Restricted Intellectual Property License (All Rights Reserved — No Derivatives)
DOI: 10.5281/zenodo.15733719
title: Dataset for Rat187 and Rat189 (Control and Test)

description: raw video recordings and DeepLabCut extracted trajectory files from both habituation and test phases for  rat187 and rat189
DOI: 10.5281/zenodo.15733720
title: Dataset for Rat187 and Rat189 (Control and Test)

description: raw video recordings and DeepLabCut extracted trajectory files from both habituation and test phases for  rat187 and rat189
DOI: 10.15468/dl.x76zdr
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-79.499 -0.122815, -79.56926300000001 -0.128382, -79.63779599999999 -0.144946, -79.702913 -0.172098, -79.763008 -0.20917, -79.816604 -0.25525, -79.86238 -0.309203, -79.89921 -0.3697, -79.926186 -0.435253, -79.942645 -0.504246, -79.94817999999999 -0.574982, -79.942656 -0.645719, -79.92620700000001 -0.714715, -79.899238 -0.780271, -79.862414 -0.840774, -79.816639 -0.894732, -79.763042 -0.940817, -79.702941 -0.977894, -79.637817 -1.00505, -79.56927399999999 -1.021616, -79.499 -1.027184, -79.428726 -1.021616, -79.36018300000001 -1.00505, -79.29505899999999 -0.977894, -79.23495800000001 -0.940817, -79.181361 -0.894732, -79.135586 -0.840774, -79.09876199999999 -0.780271, -79.071793 -0.714715, -79.05534400000001 -0.645719, -79.04982 -0.574982, -79.05535500000001 -0.504246, -79.071814 -0.435253, -79.09878999999999 -0.3697, -79.13562 -0.309203, -79.18139600000001 -0.25525, -79.23499200000001 -0.20917, -79.295087 -0.172098, -79.360204 -0.144946, -79.428737 -0.128382, -79.499 -0.122815))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002456-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65sh5f
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thalictrum lucidum, Thalictrum lucidum, Thalictrum lucidum)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 437 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002457-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw5gqj
title: Occurrence Download

description: A dataset containing 5505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((103.67397 0.40786,131.70595 0.40786,131.70595 41.02272,103.67397 41.02272,103.67397 0.40786))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelonia mydas",
 "Year 2000-2024"
 ]
}

 The dataset includes 5505 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002458-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18311375
title: Sida potentilloides A.St.-Hil. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18311376
title: Sida potentilloides A.St.-Hil. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.7910/dvn/4vkl6q
title: Purify-Enterprise-Ultimate: A Multi-modal Algorithmic Framework and Synthetic Dataset for Autonomous Radioactive Contamination Remediation

description: This dataset presents a production-grade algorithmic framework, Purify-Enterprise-Ultimate, designed for the complete resolution of radioactive contamination in complex environments. Unlike traditional methods, this system integrates high-dimensional data processing with atomic-level sensory forensics.
​The framework features a 384D composite vector indexing system that fuses multi-modal data from Atomic Force Microscopy (AFM) and mass spectrometry. It is built upon a decentralized edge-swarm architecture ensuring operational continuity during extreme weather and communication blackouts. The core logic includes a parallelized Monte Carlo risk assessment engine (achieving 1-10^{-15} safety certainty) and an immutable ledger system for full-process auditing. This dataset includes the codified Python execution logic, system architecture designs, and synthetic validation data, providing a scalable engineering pathway for nuclear waste management and environmental recovery
DOI: 10.6084/m9.figshare.31095583
title: Dataset for: Generative AI as a Driver for Critical Thinking: Integrating Information Quality, Self-Efficacy, and Learning Motivation in Indonesian Higher Education

description: The implementation of Generative Artificial Intelligence (GenAI) in higher education has drastically transformed learning methods, yet the impact of GenAI usage on critical thinking abilities via students' internal psychological influences still requires more in-depth investigation. This study aims to analyze the influence of information quality and habit on critical thinking, with the mediating roles of use of GenAI, self-efficacy, and learning motivation. This research was conducted using a quantitative approach and purposive sampling technique, involving 421 active students from various levels of higher education in Indonesia. Data analysis was performed using SmartPLS 4 software and utilized the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test model validity and hypotheses. The results of this study indicate that information quality and habit exert a significant influence on GenAI usage. Furthermore, the use of GenAI is proven to be a strong factor in enhancing self-efficacy and learning motivation, while also contributing significantly to the improvement of students' critical thinking abilities. It can be concluded from these research results that the use of GenAI supported by quality information does not result in passive dependence, but rather functions as a catalyst that enhances self-efficacy and academic motivation, thereby encouraging the development of higher-order thinking processes in academic activities.
DOI: 10.6084/m9.figshare.31095583.v1
title: Dataset for: Generative AI as a Driver for Critical Thinking: Integrating Information Quality, Self-Efficacy, and Learning Motivation in Indonesian Higher Education

description: The implementation of Generative Artificial Intelligence (GenAI) in higher education has drastically transformed learning methods, yet the impact of GenAI usage on critical thinking abilities via students' internal psychological influences still requires more in-depth investigation. This study aims to analyze the influence of information quality and habit on critical thinking, with the mediating roles of use of GenAI, self-efficacy, and learning motivation. This research was conducted using a quantitative approach and purposive sampling technique, involving 421 active students from various levels of higher education in Indonesia. Data analysis was performed using SmartPLS 4 software and utilized the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test model validity and hypotheses. The results of this study indicate that information quality and habit exert a significant influence on GenAI usage. Furthermore, the use of GenAI is proven to be a strong factor in enhancing self-efficacy and learning motivation, while also contributing significantly to the improvement of students' critical thinking abilities. It can be concluded from these research results that the use of GenAI supported by quality information does not result in passive dependence, but rather functions as a catalyst that enhances self-efficacy and academic motivation, thereby encouraging the development of higher-order thinking processes in academic activities.