cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tkzm9c
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orobanche caryophyllacea, Orobanche caryophyllacea, Orobanche caryophyllacea, Orobanche caryophyllacea, Orobanche caryophyllacea, Orobanche caryophyllacea, Orobanche galii, Orobanche galii, Orobanche vulgaris, Orobanche vulgaris, Orobanche vulgaris, Orobanche vulgaris)",
 "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 139 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001517-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308105
title: Sebastiania commersoniana (Baill.) L.B.Sm. & Downs. 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.18308106
title: Sebastiania commersoniana (Baill.) L.B.Sm. & Downs. 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.cnmcbz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.205 -2.615826, 104.134664 -2.621391, 104.066058 -2.637949, 104.000869 -2.665092, 103.940702 -2.702153, 103.887036 -2.74822, 103.841193 -2.802159, 103.804302 -2.862644, 103.777271 -2.928186, 103.760769 -2.997173, 103.755202 -3.067905, 103.76071 -3.138642, 103.77716 -3.207641, 103.804149 -3.273204, 103.841013 -3.333715, 103.886847 -3.387684, 103.940522 -3.433779, 104.000716 -3.470866, 104.065947 -3.49803, 104.134605 -3.5146, 104.205 -3.52017, 104.275395 -3.5146, 104.344053 -3.49803, 104.409284 -3.470866, 104.469478 -3.433779, 104.523153 -3.387684, 104.568987 -3.333715, 104.605851 -3.273204, 104.63284 -3.207641, 104.64929 -3.138642, 104.654798 -3.067905, 104.649231 -2.997173, 104.632729 -2.928186, 104.605698 -2.862644, 104.568807 -2.802159, 104.522964 -2.74822, 104.469298 -2.702153, 104.409131 -2.665092, 104.343942 -2.637949, 104.275336 -2.621391, 104.205 -2.615826))"},{"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/0001520-260119153935675/datasets/export for details.
DOI: 10.15468/dl.xxvkf6
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yoraperla uchidai",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001521-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4e2er
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orobanche coerulescens, Orobanche coerulescens, Orobanche coerulescens)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001523-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18308116
title: Sebastiania pusilla Croizat. 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.18308117
title: Sebastiania pusilla Croizat. 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.7pmwnq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((114.871 -2.602826, 114.800665 -2.608391, 114.732059 -2.624949, 114.666871 -2.652092, 114.606704 -2.689153, 114.553039 -2.73522, 114.507197 -2.789159, 114.470306 -2.849644, 114.443276 -2.915187, 114.426774 -2.984173, 114.421207 -3.054905, 114.426716 -3.125642, 114.443166 -3.194642, 114.470154 -3.260205, 114.507018 -3.320716, 114.552851 -3.374684, 114.606525 -3.420779, 114.666719 -3.457866, 114.731949 -3.48503, 114.800606 -3.5016, 114.871 -3.50717, 114.941394 -3.5016, 115.010051 -3.48503, 115.075281 -3.457866, 115.135475 -3.420779, 115.189149 -3.374684, 115.234982 -3.320716, 115.271846 -3.260205, 115.298834 -3.194642, 115.315284 -3.125642, 115.320793 -3.054905, 115.315226 -2.984173, 115.298724 -2.915187, 115.271694 -2.849644, 115.234803 -2.789159, 115.188961 -2.73522, 115.135296 -2.689153, 115.075129 -2.652092, 115.009941 -2.624949, 114.941335 -2.608391, 114.871 -2.602826))"},{"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 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001524-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ujvmt
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yoraperla uenoi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001525-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k78v2k
title: Occurrence Download

description: A dataset containing 843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orobanche gracilis, Orobanche gracilis, Orobanche gracilis, Orobanche gracilis, Orobanche gracilis, Orobanche cruenta, Orobanche cruenta)",
 "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 843 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001527-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18308118
title: Sebastiania ramosissima (A.St.-Hil.) A.L.Melo & M.F.Sales. 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.18308119
title: Sebastiania ramosissima (A.St.-Hil.) A.L.Melo & M.F.Sales. 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.p2pc3f
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.013 -2.601826, 115.942665 -2.607391, 115.874059 -2.623949, 115.808871 -2.651092, 115.748705 -2.688153, 115.69504 -2.73422, 115.649197 -2.788159, 115.612307 -2.848645, 115.585277 -2.914187, 115.568774 -2.983173, 115.563208 -3.053905, 115.568716 -3.124642, 115.585166 -3.193642, 115.612154 -3.259205, 115.649018 -3.319716, 115.694852 -3.373684, 115.748526 -3.419779, 115.808719 -3.456866, 115.873949 -3.48403, 115.942607 -3.5006, 116.013 -3.50617, 116.083393 -3.5006, 116.152051 -3.48403, 116.217281 -3.456866, 116.277474 -3.419779, 116.331148 -3.373684, 116.376982 -3.319716, 116.413846 -3.259205, 116.440834 -3.193642, 116.457284 -3.124642, 116.462792 -3.053905, 116.457226 -2.983173, 116.440723 -2.914187, 116.413693 -2.848645, 116.376803 -2.788159, 116.33096 -2.73422, 116.277295 -2.688153, 116.217129 -2.651092, 116.151941 -2.623949, 116.083335 -2.607391, 116.013 -2.601826))"},{"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 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001528-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etaujb
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orobanche lutea, Orobanche lutea, Orobanche lutea, Orobanche lutea, Orobanche lutea, Orobanche rubens)",
 "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 54 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001531-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zae46g
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megarcys ochracea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001530-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4wdns
title: Occurrence Download

description: A dataset listing the 395 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Shark Bay Survey"
 ]
}

 The dataset's 395 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001519-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18307906
title: A Neuro-Symbolic Risk Calculus for Quantifying Security Posture in Microservice Systems

description: The decentralized nature of microservices fuels development agility but introduces architectural opacity. Consequently, inconsistent security assumptions emerge across services creating latent vulnerability surfaces. While traditional inter-procedural static analysis methods excel in monolithic or homogenous environments, they struggle to construct a unified "super-graph" in polyglot, dynamically routed distributed systems. 

This work presents a neuro-symbolic framework that moves beyond conventional static analysis by quantifying a system's holistic security posture by formally modeling the uncertainty inherent in these decoupled architectures. Our approach transforms static Intermediate Representations into a Knowledge Graph, grounding this symbolic model with business context inductively inferred by a Large Language Model. We then employ Subjective Logic to develop a novel risk calculus to reason about evidence from these two sources. Unlike traditional binary scoring, our model produces a multi-dimensional "opinion" tuple (b,d,u) for each execution path.

This dataset contains the results from the empirical evaluation on the TrainTicket benchmark. We demonstrate that this framework identifies critical latent vulnerabilities in paths deemed "clean" by industry-standard SAST tools (SonarQube). By explicitly distinguishing between probabilistic business conflicts and deterministic security negligence, the model moves beyond binary alerting to provide a granular risk profile, enabling automated governance that balances operational availability with security rigor.
DOI: 10.5281/zenodo.18307907
title: A Neuro-Symbolic Risk Calculus for Quantifying Security Posture in Microservice Systems

description: The decentralized nature of microservices fuels development agility but introduces architectural opacity. Consequently, inconsistent security assumptions emerge across services creating latent vulnerability surfaces. While traditional inter-procedural static analysis methods excel in monolithic or homogenous environments, they struggle to construct a unified "super-graph" in polyglot, dynamically routed distributed systems. 

This work presents a neuro-symbolic framework that moves beyond conventional static analysis by quantifying a system's holistic security posture by formally modeling the uncertainty inherent in these decoupled architectures. Our approach transforms static Intermediate Representations into a Knowledge Graph, grounding this symbolic model with business context inductively inferred by a Large Language Model. We then employ Subjective Logic to develop a novel risk calculus to reason about evidence from these two sources. Unlike traditional binary scoring, our model produces a multi-dimensional "opinion" tuple (b,d,u) for each execution path.

This dataset contains the results from the empirical evaluation on the TrainTicket benchmark. We demonstrate that this framework identifies critical latent vulnerabilities in paths deemed "clean" by industry-standard SAST tools (SonarQube). By explicitly distinguishing between probabilistic business conflicts and deterministic security negligence, the model moves beyond binary alerting to provide a granular risk profile, enabling automated governance that balances operational availability with security rigor.
DOI: 10.15468/dl.u27w5b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((107.77 -2.580826, 107.699666 -2.586391, 107.631062 -2.602949, 107.565875 -2.630092, 107.505709 -2.667153, 107.452045 -2.71322, 107.406204 -2.76716, 107.369314 -2.827645, 107.342285 -2.893187, 107.325783 -2.962174, 107.320217 -3.032906, 107.325725 -3.103643, 107.342175 -3.172642, 107.369163 -3.238205, 107.406026 -3.298716, 107.451858 -3.352684, 107.505531 -3.39878, 107.565724 -3.435866, 107.630952 -3.46303, 107.699608 -3.479601, 107.77 -3.48517, 107.840392 -3.479601, 107.909048 -3.46303, 107.974276 -3.435866, 108.034469 -3.39878, 108.088142 -3.352684, 108.133974 -3.298716, 108.170837 -3.238205, 108.197825 -3.172642, 108.214275 -3.103643, 108.219783 -3.032906, 108.214217 -2.962174, 108.197715 -2.893187, 108.170686 -2.827645, 108.133796 -2.76716, 108.087955 -2.71322, 108.034291 -2.667153, 107.974125 -2.630092, 107.908938 -2.602949, 107.840334 -2.586391, 107.77 -2.580826))"},{"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/0001532-260119153935675/datasets/export for details.
DOI: 10.15468/dl.p9699d
title: Occurrence Download

description: A dataset containing 975620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "PublishingOrg is one of (3c6ad080-bdbe-11da-ac59-b8a03c50a862, 8483a1f0-1032-11db-ae00-b8a03c50a862, 268b6d3b-f892-4ac9-80cc-ae18c2f1f1cf, 34cc6c50-812c-11de-86fe-b8a03c50a862, 976af1e0-ca25-11da-bfed-b8a03c50a862)",
 "Year 2000-2026"
 ]
}

 The dataset includes 975620 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001522-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14553998
title: Egypt Gold Prices | Daily Updated
DOI: 10.15468/dl.fuvxyy
title: Occurrence Download

description: A dataset containing 39800635 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 39800635 records from 4800 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001448-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6srsqd
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Craugastor ranoides (Cope, 1886)"
 ]
}

 The dataset includes 56 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013418-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uhg2m
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Epimedium alpinum L."
 ]
}

 The dataset includes 155 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013419-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/slqv26
title: Supplementary File for: Increased susceptibility to COVID-19 infection in women with polycystic ovary syndrome: a UK population-based study

description: Supplementary material
DOI: 10.7910/dvn/mi5hlc
title: Wright Casebook Edited; Docketed Case: 16,862
DOI: 10.7910/dvn/rwlekk
title: Integrating the MasSpec Pen to the da Vinci Surgical System for in vivo Tissue Analysis during a Robotic Assisted Porcine Surgery

description: Replication data for Integrating the MasSpec Pen to the da Vinci Surgical System for in vivo Tissue Analysis during a Robotic Assisted Porcine Surgery
DOI: 10.7910/dvn/yfjazo
title: Replication Data for: Tau pathology mediates the effects of amyloid on neocortical tau propagation and neurodegeneration among non-demented individuals

description: Deidentified cross-sectional Baltimore Longitudinal Study of Aging (BLSA) data set that will allow for the approximate replication of the cross-sectional statistical analyses presented in the paper, "Tau pathology mediates the effects of amyloid on neocortical tau propagation and neurodegeneration among non-demented individuals". Because this data set includes age bands rather than continuous ages and no APOE genotype information is provided, analyses cannot be replicated exactly. Continuous age and APOE genotype data as well as longitudinal data are available from the BLSA website (https://www.blsa.nih.gov). All requests are reviewed by the BLSA Data Sharing Proposal Review Committee.
DOI: 10.7910/dvn/njwbl6
title: Replication Data for: Dataset "P3Numbers_20150618_f_11_001" available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=344

description: Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.
description: Presentation, 18.1
description: Brain Vision Recorder, 1.20.0001
description: All data and metadata in this dataverse can be downloaded as an experimental package named "PROJECT DAYS P3 NUMBERS" that is available at https://eegdatabase.kiv.zcu.cz in section "All experiments"