cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60809/drum.30373252
title: Dataset 2: Monopolar EOG Data Recorded Under Stationary Head Pose Conditions

description: This work aims to propose a novel method to estimate the gaze from electrooculography (EOG) signals while compensating for the baseline drift, and which intrinsically detects fixations, saccades and blinks. In contrast to existing baseline drift mitigation techniques, the proposed framework is real-time-implementable, and does not require the average point of gaze to lie at the primary gaze position, nor does it disrupt the overall ocular pose-induced EOG signal DC characteristics. The EOG data used to validate the proposed method is also being made publicly available. Methods: The proposed method is based on the dual Kalman filter, which estimates the gaze angles (GAs) and the baseline concurrently, taking into consideration the EOG signal’s non-stationary and temporally-multimodal characteristics. In fact, it is a multiple-model technique based on a battery model of the eye wherein fixations, saccades and blinks are modelled separately. Results: When applied to short EOG data segments, a horizontal and vertical GA estimation error of 1.64 ± 0.82°and 1.97 ± 0.34°, respectively, was obtained, which compared well with the corresponding results obtained using the state-of-the-art linear regression models. Conversely, for longer data segments, the proposed framework yielded superior GA estimation performance when compared to the state-of-the-art techniques. Eye movement detection and labelling F-scores exceeding 90% were achieved. Conclusion: The proposed method yields reliable gaze estimation performance, and accurately detects fixations, saccades and blinks.
DOI: 10.60809/drum.30373252.v1
title: Dataset 2: Monopolar EOG Data Recorded Under Stationary Head Pose Conditions

description: This work aims to propose a novel method to estimate the gaze from electrooculography (EOG) signals while compensating for the baseline drift, and which intrinsically detects fixations, saccades and blinks. In contrast to existing baseline drift mitigation techniques, the proposed framework is real-time-implementable, and does not require the average point of gaze to lie at the primary gaze position, nor does it disrupt the overall ocular pose-induced EOG signal DC characteristics. The EOG data used to validate the proposed method is also being made publicly available. Methods: The proposed method is based on the dual Kalman filter, which estimates the gaze angles (GAs) and the baseline concurrently, taking into consideration the EOG signal’s non-stationary and temporally-multimodal characteristics. In fact, it is a multiple-model technique based on a battery model of the eye wherein fixations, saccades and blinks are modelled separately. Results: When applied to short EOG data segments, a horizontal and vertical GA estimation error of 1.64 ± 0.82°and 1.97 ± 0.34°, respectively, was obtained, which compared well with the corresponding results obtained using the state-of-the-art linear regression models. Conversely, for longer data segments, the proposed framework yielded superior GA estimation performance when compared to the state-of-the-art techniques. Eye movement detection and labelling F-scores exceeding 90% were achieved. Conclusion: The proposed method yields reliable gaze estimation performance, and accurately detects fixations, saccades and blinks.
DOI: 10.60809/drum.30382684
title: Dataset 3 : Monopolar EOG Data Recorded Under Non-Stationary Head Pose Conditions

description: This dataset contains the head pose and position data and monopolar EOG channel data recorded for trials each containing two saccades and a blink. In each trial, the subject was instructed to perform: (i) a saccade towards an indicated random position on the screen, (ii) a second saccade towards a different indicated random position on the screen, and (iii) a blink. The subjects were allowed to perform any natural head movements as necessary while attending to the targets. More information is available in the ‘Data Description’ file made available within the downloadable zip file.
DOI: 10.60809/drum.30401401.v1
title: XRD DATA : Early Neolithic pottery production in the Maltese Islands : initiating an Għar Dalam and Skorba pottery fabric classification

description: This dataset contains raw X-ray diffraction (XRD) data from 32 Early Neolithic ceramic sherds excavated at four sites in Malta: Skorba, Santa Verna, Taċ-Ċawla, and Kordin. The samples represent the Għar Dalam and Skorba phases and were analysed as part of the MaltaPot project at the University of Malta. XRD analysis was carried out to support petrographic interpretations, confirm mineral phases, and assess firing conditions. The dataset includes intensity vs 2θ data, recorded using a Bruker D8 diffractometer, along with full output files including instrument settings. Data collection was conducted by Dr Catriona Brogan and later re-analysed by Dr Ing. John C. Betts and Maria Vella. This upload was prepared as part of the publication of the archaeometric results by Emma Richard-Tremeau.XRD data were collected at the Department of Metallurgy and Materials Engineering (DMME), University of Malta, under the supervision and with the help of Ing. James Camilleri and Dr Daniel Vella.The data are provided in an Excel spreadsheet (.xlsx) with four sheets:Għar Dalam – raw data (angle and intensity)Għar Dalam – full output with instrument settingsSkorba – raw data (angle and intensity)Skorba – full output with instrument settingsMethodology is described in detail in the accompanying README file.
DOI: 10.60809/drum.28846541.v1
title: Magnetic Resonance Imaging (MRI) data of fruit and vegetables

description: Fruit & Vegetable MRI Dataset (Test Data)This dataset contains anatomical and diffusion MRI scans of various fruits and vegetables, collected as part of test experiments by the UMRI platform (https://www.um.edu.mt/platforms/umri/). The data is shared openly for anyone who wishes to practice or test MRI analysis pipelines.<br>PurposeThe dataset was created to:Provide easy-to-use MRI data for testing code and workflows.Facilitate learning and development in MRI research.Demonstrate BIDS-compatible dataset structure.<br>ContentsAnatomical MRI scans (T1w, T2w)Diffusion MRI scans (DWI)Derived data in BIDS derivatives folder<br>AnonymizationAll sensitive information has been removed or anonymized:<br>"InstitutionName" → Anonymous"InstitutionAddress" → Anonymous"DeviceSerialNumber" → Anonymous"StationName" → AnonymousOnly the scanner model is retained for reference.<br>LicenseThe dataset is freely available for non-commercial use. To ask for the data, please fill the form asking for it in https://www.um.edu.mt/platforms/umri/generalpublic/knowmore/gdprrights/form/<br>
DOI: 10.60809/drum.29412500.v1
title: Corpus Inscriptionum Melitensium : Latin inscriptions in l-Isla/Senglea

description: Corpus Inscriptionum Melitensium, a project by the Department of Classics and Archaeology at UM, is an in-progress database that compiles Latin inscriptions across Malta and Gozo. This spreadsheet covers Latin inscriptions in Isla/Senglea, including a transcription, translations in English and Maltese, background information and other relevant data.
DOI: 10.60809/drum.30329806
title: Face2Text

description: Face2Text is an ongoing project to collect a data set of natural language descriptions of human faces. A randomly selected sample of images from the CelebA data set were used and human annotators were given a random sample of faces to describe.
DOI: 10.60809/drum.30405910.v1
title: Data from : Assessing the anti-fungal efficiency of filters coated with zinc oxide nanoparticles

description: Air filters support fungal growth, leading to generation of conidia and volatile organic compounds, causing allergies, infections and food spoilage. Filters that inhibit fungi are therefore necessary. Zinc oxide (ZnO) nanoparticles have anti-fungal properties and therefore are good candidates for inhibiting growth. Two concentrations (0.012 M and 0.12 M) were used to coat two types of filters (melt-blown and needle-punched) for three different periods (0.5, 5 and 50 min). Rhizopus stolonifer and Penicillium expansum isolated from spoiled pears were used as test organisms. Conidial suspensions of 105 to 103 spores ml−1 were prepared in Sabouraud dextrose agar at 50°C, and a modified slide-culture technique was used to test the anti-fungal properties of the filters. Penicillium expansum was the more sensitive organism, with inhibition at 0.012 M at only 0.5 min coating time on the needle-punched filter. The longer the coating time, the more effective inhibition was for both organisms. Furthermore, it was also determined that the coating process had only a slight effect on the Young's Moduli of the needle-punched filters, while the Young's Moduli of the melt-blown filters is more susceptible to the coating method. This work contributes to the assessment of the efficacy of filter coating with ZnO nanopaticles aimed at inhibiting fungal growth.
DOI: 10.15468/dl.k2yr63
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Azorella macquariensis"
 ]
}

 The dataset includes 91 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002779-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6qnaj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tabanus griseinus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002780-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uugjpp
title: Occurrence Download

description: A dataset containing 19568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cedrela P.Browne"
 ]
}

 The dataset includes 19568 records from 539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026346-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stky6v
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.365 2.234179, 103.294684 2.228611, 103.226101 2.212042, 103.160941 2.184882, 103.100809 2.1478, 103.047187 2.10171, 103.001394 2.047747, 102.964559 1.98724, 102.937587 1.92168, 102.921142 1.852682, 102.915626 1.781945, 102.921176 1.71121, 102.937652 1.64222, 102.964648 1.576672, 103.001499 1.51618, 103.047296 1.462234, 103.100913 1.41616, 103.16103 1.379093, 103.226166 1.351945, 103.294718 1.335385, 103.365 1.329819, 103.435282 1.335385, 103.503834 1.351945, 103.56897 1.379093, 103.629087 1.41616, 103.682704 1.462234, 103.728501 1.51618, 103.765352 1.576672, 103.792348 1.64222, 103.808824 1.71121, 103.814374 1.781945, 103.808858 1.852682, 103.792413 1.92168, 103.765441 1.98724, 103.728606 2.047747, 103.682813 2.10171, 103.629191 2.1478, 103.569059 2.184882, 103.503899 2.212042, 103.435316 2.228611, 103.365 2.234179))"},{"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 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002781-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk4aab
title: Occurrence Download

description: A dataset containing 787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viola hirta, Viola hirta)",
 "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 787 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002782-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhd88d
title: Occurrence Download

description: A dataset containing 2580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aproceros leucopoda Takeuchi, 1939",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2580 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008737-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u72kjz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.863 -1.155818, 102.792723 -1.161384, 102.724175 -1.177945, 102.659044 -1.205094, 102.598932 -1.242161, 102.545319 -1.288236, 102.499526 -1.342183, 102.462679 -1.402676, 102.435687 -1.468225, 102.419214 -1.537215, 102.413667 -1.60795, 102.419183 -1.678687, 102.435629 -1.747685, 102.462599 -1.813245, 102.499432 -1.873751, 102.545221 -1.927713, 102.598838 -1.973803, 102.658964 -2.010884, 102.724117 -2.038044, 102.792692 -2.054612, 102.863 -2.06018, 102.933308 -2.054612, 103.001883 -2.038044, 103.067036 -2.010884, 103.127162 -1.973803, 103.180779 -1.927713, 103.226568 -1.873751, 103.263401 -1.813245, 103.290371 -1.747685, 103.306817 -1.678687, 103.312333 -1.60795, 103.306786 -1.537215, 103.290313 -1.468225, 103.263321 -1.402676, 103.226474 -1.342183, 103.180681 -1.288236, 103.127068 -1.242161, 103.066956 -1.205094, 103.001825 -1.177945, 102.933277 -1.161384, 102.863 -1.155818))"},{"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/0002783-260119153935675/datasets/export for details.
DOI: 10.15468/dl.nzbq8x
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Epilobium hirsutum",
 "Year 1970-2000"
 ]
}

 The dataset includes 335 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002784-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18215633
title: Notas de leitura do processo "Proyecto de Pabellón de Enseñanza Religiosas Hijas de Jesús (Jesuitinas), Medina del Campo [1954-1955]"

description: Notas de leitura do processo “Proyecto de Pabellón de Enseñanza Religiosas Hijas de Jesús (Jesuitinas), Medina del Campo [1954-1955]” existente no Archivo Municipal – Fundación Museo de las Ferias de Medina del Campo, em Medina del Campo.

Registo efetuado em fevereiro de 2025 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/es/documentacion/expedientes/57941/proyecto-de-pabellon-de-ensenanza-religiosas-hijas-de-jesus-jesuitinas-medina-del-campo-1954-1955. 

Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em janeiro de 2026.
DOI: 10.5281/zenodo.18215634
title: Notas de leitura do processo "Proyecto de Pabellón de Enseñanza Religiosas Hijas de Jesús (Jesuitinas), Medina del Campo [1954-1955]"

description: Notas de leitura do processo “Proyecto de Pabellón de Enseñanza Religiosas Hijas de Jesús (Jesuitinas), Medina del Campo [1954-1955]” existente no Archivo Municipal – Fundación Museo de las Ferias de Medina del Campo, em Medina del Campo.

Registo efetuado em fevereiro de 2025 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/es/documentacion/expedientes/57941/proyecto-de-pabellon-de-ensenanza-religiosas-hijas-de-jesus-jesuitinas-medina-del-campo-1954-1955. 

Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em janeiro de 2026.
DOI: 10.5281/zenodo.18312863
title: Sisymbrium 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: 10.5281/zenodo.18312864
title: Sisymbrium 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.wbnjsa
title: Occurrence Download

description: A dataset containing 670 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.075 2.244179, 104.004684 2.238611, 103.9361 2.222042, 103.87094 2.194882, 103.810807 2.1578, 103.757185 2.11171, 103.711392 2.057746, 103.674557 1.99724, 103.647585 1.93168, 103.631139 1.862682, 103.625624 1.791945, 103.631173 1.72121, 103.64765 1.65222, 103.674646 1.586672, 103.711497 1.52618, 103.757295 1.472234, 103.810912 1.42616, 103.871029 1.389093, 103.936165 1.361945, 104.004718 1.345385, 104.075 1.339819, 104.145282 1.345385, 104.213835 1.361945, 104.278971 1.389093, 104.339088 1.42616, 104.392705 1.472234, 104.438503 1.52618, 104.475354 1.586672, 104.50235 1.65222, 104.518827 1.72121, 104.524376 1.791945, 104.518861 1.862682, 104.502415 1.93168, 104.475443 1.99724, 104.438608 2.057746, 104.392815 2.11171, 104.339193 2.1578, 104.27906 2.194882, 104.2139 2.222042, 104.145316 2.238611, 104.075 2.244179))"},{"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 670 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002786-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrkbf6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tabanus haysi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002785-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.977qms
title: Occurrence Download

description: A dataset containing 313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Viola palustris)",
 "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 313 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002787-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18312880
title: Sisymbrium irio 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: 10.5281/zenodo.18312879
title: Sisymbrium irio 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: 10.5281/zenodo.18312376
title: SGUFT — Appendix W11 (INFOCLOSE1) v1.0 — Information-Preservation Closure: Dynamic Audit Adjudication (evidence / only / summary bundles)

description: 本记录提供了 SGUFT 附录W11 (INFOCLOSE1)的可重现工件。

INFOCLOSE1 实现了信息保存闭包测试的可审计通过/失败判定机制,采用固定容差和可检查的清单/审计链。该软件包包含输入、锁定快照、生成的输出和汇总的判定结果。

内容

此记录包含三个 ZIP 压缩包:





证据包:包含审计日志和完整性清单的完整可复现性工具包




仅打包:最小可复现性软件包(相同的核心布局和输出)




摘要包:面向公众的摘要输出(CSV/JSON),并附带完整性清单。





附录文本(DOCX)单独分发(仅提供 DOI;供 arXiv 使用),不包含在此记录中。


诚信检查

每个捆绑包包含manifest_sha256.json。提取后,重新计算 SHA-256 哈希值,并将其与清单条目进行比较。

根据证据包重建

提取后:







 



cd RUN_G_INFOCLOSE_0001_INFOCLOSE1/w11/infoclose1
python build/extract_snapshots_infoclose1.py
python build/build_infoclose1_from_snapshots.py
python build/generate_infoclose1_summary.py
python build/generate_manifest_audit.py



出处说明

INFOCLOSE1 使用溯源锁定的上游参考文献进行评估。确切的上游标识符以仅包含 DOI 的参考文献形式提供在相关的附录文档中。

Note: the “only” bundle is byte-identical to the “evidence” bundle for this release (same hashes); it is provided for naming consistency across the W-series.