cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34976/0agg-3r61
title: PMA Democratic Republic of Congo (Kinshasa) Covid-19 Female Follow-up Survey (2020)

description: PMA Democratic Republic of Congo (CDP1) COVID-19 Female Follow-up (FQFU) survey was conducted by telephone in June 2020 with a representative sample of women aged 15-49 who were interviewed in the baseline survey between December 2019 and February 2020, consented to follow-up, and owned or had access to a telephone (69.5% of the baseline survey population). Of the 1,773 eligible respondents, 22.4% were not reached. Of those who were reached, 96.3% completed the survey for a response rate of 74.7% among eligible women.
DOI: 10.34976/2qwt-zk74
title: PMA Niger Phase 3 Household and Female Survey (2023)

description: PMA Niger Phase 3 (NEP3) Household and Female Survey collects regionally representative data in the Niamey region on knowledge, practice, and coverage of family planning services in 102 enumeration areas selected using a multi-stage stratified cluster design with urban-rural strata. The PMA Panel survey was conducted in 8 regions among 3,876 females who were interviewed in Phase 1 and Phase 2, who had consented to follow-up, and who were aged between 15 and 49 at the time of the Phase 3 survey (November 2022 to February 2023). 75.3% of women were enrolled in Phase 1 between December 2020 and April 2021, and 24.7% of women were enrolled in Phase 2 between January and May 2022. Of the 3,876 eligible respondents, 14.8% were not reached for follow-up. Of those reached, 3,194 (82.4%) completed the survey, for a response rate of 97.8%. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226
DOI: 10.34976/a3e8-nx80
title: PMA2020 Ghana Round 4 Household Female Survey (2015)

description: Ghana Round 4 Household and Female (HQFQ) survey used a two-stage cluster design with urban and rural, major ecological zones as the strata. A sample of 100 enumeration areas (EAs) was drawn by the Ghana Statistical Service from its master sampling frame. For each EA, 42 households were randomly selected using a random number generator. Occupants in selected households were enumerated and eligible females of reproductive age (15-49) were contacted and consented for interview. Data collection was conducted between May and June, 2015. The final sample of completed households included 4,053 households in 100 EAs and 5,185 completed female interviews among de facto females. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/cjvx-z226
title: PMA (2019-2024) Household and Female Master Codebook

description: PMA (2019-2024) Household and Female Survey Master Codebook contains Household and Female surveys conducted between 2019 and 2024 as part of the PMA grant.
DOI: 10.34976/hrjr-p366
title: PMA Ethiopia 2021 Cross-sectional Household and Female Survey

description: PMA Ethiopia 2021 Cross-sectional survey used a two-stage cluster design with urban-rural, and major regions as strata. A total of 243 enumeration areas (EAs) selected from the master sample frame of the Central Statistical Agency. A cross-section of 35 households are randomly selected from within each enumeration area. All women age 15-49-years old in the selected households are eligible for the cross-sectional survey. A total of 8,365 households (98.9%) and 7,988 women (98.8%) completed the cross-sectional survey. Data collection was conducted between November 2021 and January 2022. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/zvvy-x402
DOI: 10.34976/e3wj-pf59
title: PMA Côte d’Ivoire Phase 1 Household and Female Survey (2020)

description: PMA Côte d’Ivoire Phase 1 Household and Female Baseline Survey includes 122 enumeration areas (EAs) selected using a multi-stage stratified cluster design with urban-rural and region strata. The results are representative at the national level and within urban/rural strata. The final sample included 3,988 households and 4,135 females who completed the interview. Data collection was conducted between September and November 2020. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226
DOI: 10.7281/t1/izmsnx
title: Data associated with the publication: Diffusion, density, and defects on spheres

description: Data for this paper, including example simulation trajectories on both flat and curved surfaces as well as MSD curves, RDF curves, and topological defect distributions averaged over many such simulations. Additionally, this analysis and plotting scripts (all in python).
DOI: 10.7281/t14usdej
title: Data associated with the publication: Automated head-fixation training system with high levels of animal participation in psychoacoustic tasks

description: This dataset contains mouse behavior data to validate a new automatic training system for mouse auditory behavior and compare it to a manual behavior setup.
DOI: 10.34976/0vv8-bc40
title: PMA2020 Ethiopia Round 5 Household Female Survey (2017)

description: Ethiopia Round 5 Household and Female (HQFQ) survey used a two-stage cluster design with urban-rural and major regions as strata. For this survey round, a new set of 221 enumeration areas (EAs) were selected, adjacent to EAs used in the previous four rounds, drawn by the Central Statistics Agency from its master sampling frame. Each EA was listed and mapped; 35 households were randomly selected. Occupants in selected households were enumerated and eligible females of reproductive age (15-49) were contacted and consented for interview. Data collection was conducted between April and May, 2017. The final sample includes 7,616 complete household interviews and 7,464 complete female interviews. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/b88s-zx32
DOI: 10.34976/54yf-e521
title: PMA Niger Phase 1 Household and Female Survey (2021)

description: PMA Niger Phase 1 (NEP1) Household and Female Survey includes a total of 103 enumeration areas (EAs). The EAs were drawn using the stratified cluster design with urban-rural strata. The results are representative at the national and regional level. The final sample included 3,515 (97.6%) households and 3,633 (95.4%) de facto women which completed the interview. Data collection was conducted between December 2020 and April 2021. More information about this dataset can be found in the corresponding codebook, accessible at https://doi.org/10.34976/cjvx-z226
DOI: 10.7281/t1/cgbg4f
title: Data associated with the publication: Precise astrophotometric ages and metallicities for 400,000 solar neighborhood subgiant branch stars.

description: Posterior distributions for the intrinsic stellar parameters (mass, age, distance, etc) and observables (e.g. apparent magnitudes) of approximately 400,000 nearby subgiant branch stars, given the measurements such as parallaxes, and given priors such as the requirement that the stars’ intrinsic stellar parameters be along a MIST stellar isochrone (Choi et al., 2016ApJ...823..102C). The 16th, 50th, and 84th percentile of the parameters with posteriors are available with the publication.
DOI: 10.5284/1132258
title: Digital Archive from an Archaeological Watching Brief at 80 Chester Green Road, Derby, March 2024

description: This collection consists of images, site record data and a vector graphic from an archaeological watching brief, by Archaeological Research Services Ltd. Work occurred at 80 Chester Green Road, Little Chester, Derby in March 2024. The purpose of the brief was to record any archaeological remains that survived on site.
DOI: 10.15468/dl.5w3kmm
title: Occurrence Download

description: A dataset containing 34901 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parthenium hysterophorus L."
 ]
}

 The dataset includes 34901 records from 483 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009707-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2jw6m
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bythaelurus bachi"
 ]
}

 The dataset includes 42 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001735-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxq93p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.241 1.056184, 101.170725 1.050616, 101.102181 1.03405, 101.037057 1.006894, 100.976956 0.969817, 100.923358 0.923731, 100.877584 0.869773, 100.840759 0.809271, 100.81379 0.743714, 100.797342 0.674718, 100.791818 0.603981, 100.797353 0.533245, 100.813812 0.464252, 100.840789 0.398699, 100.877619 0.338202, 100.923395 0.28425, 100.976991 0.23817, 101.037087 0.201098, 101.102203 0.173946, 101.170737 0.157382, 101.241 0.151815, 101.311263 0.157382, 101.379797 0.173946, 101.444913 0.201098, 101.505009 0.23817, 101.558605 0.28425, 101.604381 0.338202, 101.641211 0.398699, 101.668188 0.464252, 101.684647 0.533245, 101.690182 0.603981, 101.684658 0.674718, 101.66821 0.743714, 101.641241 0.809271, 101.604416 0.869773, 101.558642 0.923731, 101.505044 0.969817, 101.444943 1.006894, 101.379819 1.03405, 101.311275 1.050616, 101.241 1.056184))"},{"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/0001734-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.15076475
title: Detecting Early Cognitive Decline Using Eye-Tracking Metrics in a Virtual Reality Mini-Mental State Examination

description: This dataset contains eye-tracking metrics and performance data collected during a Virtual Reality Mini-Mental State Examination (VR-MMSE) designed to detect early cognitive decline. The study included 60 participants across three groups: Alzheimer's disease (n=20), mild cognitive impairment (n=20), and healthy controls (n=20). 

Data includes:1. Demographic information (age, education level, gender)2. Traditional MMSE and VR-MMSE performance scores3. Eye-tracking metrics including fixation duration, saccade velocity, and gaze enter count data for predefined regions of interest4. Classification analysis results comparing diagnostic accuracy

Data was collected using a Pico 4 Pro head-mounted display with integrated eye-tracking capabilities (90 Hz refresh rate, 0.5° angular accuracy, sampled at 60 Hz). The VR environment was developed using Unity3D, adapting traditional MMSE components to an immersive setting.

This dataset supports research on multimodal approaches to early detection of cognitive impairment, demonstrating how integrated performance measures and physiological data can enhance diagnostic sensitivity.
DOI: 10.15468/dl.m369er
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((68.35277 44.24421,104.64723 44.24421,104.64723 58.75579,68.35277 58.75579,68.35277 44.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus leptocaulis"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001736-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18317408
title: P.R.I.S.M.™ Framework: A Post-Sovereign Meta-Governance Operating System for Executive Leadership

description:  



Zenodo Description — Ultimate Clean International Canonical Edition



P.R.I.S.M.™ (Power • Resonance • Intelligence • Stability • Mastery) is an original, architecture-first post-sovereign meta-governance framework developed to address systemic leadership failure under conditions of irreversible political, informational, technological, and civilizational complexity.

Distinct from political theory, institutional reform models, and policy toolkits, P.R.I.S.M.™ functions as a Governance Operating System (G-OS) positioned at the meta-governance layer—above ideology, party structures, administrative mechanisms, and regime typologies. It provides a unified executive architecture through which governance decisions can be evaluated, sequenced, restrained, or deferred based on long-horizon consequence structures rather than short-term incentives, narratives, or popularity dynamics.

The framework is composed of four interdependent and internally coherent pillars—Resonance Intelligence, Intelligence Architecture, Stability & Resilience Systems, and Mastery & Execution—each engineered to resolve a core failure mode of contemporary governance: erosion of civilizational alignment, loss of decision clarity under informational overload, systemic fragility under shock conditions, and executive overreach across extended consequence chains.

P.R.I.S.M.™ is explicitly leader-centric, consequence-driven, and constitution-compatible. It is neutral to ideology and regime type and is designed for application across democratic, hybrid, and non-aligned systems without institutional displacement or cultural override. The framework does not prescribe policy, mandate action, or replace constitutional authority; instead, it enhances institutional survivability, executive clarity, and long-term systemic continuity.

This record establishes the canonical doctrinal articulation, priority authorship, and scholarly registration of the P.R.I.S.M.™ Framework. The publication functions exclusively as a theoretical, advisory, and diagnostic architecture. All operational methodologies, executable models, algorithmic instantiations, metrics, simulations, and implementation protocols remain proprietary, unpublished, and expressly reserved by the author.

The P.R.I.S.M.™ Framework is intended for heads of government, constitutional architects, senior executive leadership, and global strategic governance researchers engaged in high-sovereignty decision environments where long-term stability, restraint, and civilizational continuity are paramount.
DOI: 10.5281/zenodo.18317409
title: P.R.I.S.M.™ Framework: A Post-Sovereign Meta-Governance Operating System for Executive Leadership

description:  



Zenodo Description — Ultimate Clean International Canonical Edition



P.R.I.S.M.™ (Power • Resonance • Intelligence • Stability • Mastery) is an original, architecture-first post-sovereign meta-governance framework developed to address systemic leadership failure under conditions of irreversible political, informational, technological, and civilizational complexity.

Distinct from political theory, institutional reform models, and policy toolkits, P.R.I.S.M.™ functions as a Governance Operating System (G-OS) positioned at the meta-governance layer—above ideology, party structures, administrative mechanisms, and regime typologies. It provides a unified executive architecture through which governance decisions can be evaluated, sequenced, restrained, or deferred based on long-horizon consequence structures rather than short-term incentives, narratives, or popularity dynamics.

The framework is composed of four interdependent and internally coherent pillars—Resonance Intelligence, Intelligence Architecture, Stability & Resilience Systems, and Mastery & Execution—each engineered to resolve a core failure mode of contemporary governance: erosion of civilizational alignment, loss of decision clarity under informational overload, systemic fragility under shock conditions, and executive overreach across extended consequence chains.

P.R.I.S.M.™ is explicitly leader-centric, consequence-driven, and constitution-compatible. It is neutral to ideology and regime type and is designed for application across democratic, hybrid, and non-aligned systems without institutional displacement or cultural override. The framework does not prescribe policy, mandate action, or replace constitutional authority; instead, it enhances institutional survivability, executive clarity, and long-term systemic continuity.

This record establishes the canonical doctrinal articulation, priority authorship, and scholarly registration of the P.R.I.S.M.™ Framework. The publication functions exclusively as a theoretical, advisory, and diagnostic architecture. All operational methodologies, executable models, algorithmic instantiations, metrics, simulations, and implementation protocols remain proprietary, unpublished, and expressly reserved by the author.

The P.R.I.S.M.™ Framework is intended for heads of government, constitutional architects, senior executive leadership, and global strategic governance researchers engaged in high-sovereignty decision environments where long-term stability, restraint, and civilizational continuity are paramount.
DOI: 10.5281/zenodo.15072451
title: Detecting Early Cognitive Decline Using Eye-Tracking Metrics in a Virtual Reality Mini-Mental State Examination

description: This dataset contains eye-tracking metrics and performance data collected during a Virtual Reality Mini-Mental State Examination (VR-MMSE) designed to detect early cognitive decline. The study included 60 participants across three groups: Alzheimer's disease (n=20), mild cognitive impairment (n=20), and healthy controls (n=20). 

Data includes:1. Demographic information (age, education level, gender)2. Traditional MMSE and VR-MMSE performance scores3. Eye-tracking metrics including fixation duration, saccade velocity, and gaze enter count data for predefined regions of interest4. Classification analysis results comparing diagnostic accuracy

Data was collected using a Pico 4 Pro head-mounted display with integrated eye-tracking capabilities (90 Hz refresh rate, 0.5° angular accuracy, sampled at 60 Hz). The VR environment was developed using Unity3D, adapting traditional MMSE components to an immersive setting.

This dataset supports research on multimodal approaches to early detection of cognitive impairment, demonstrating how integrated performance measures and physiological data can enhance diagnostic sensitivity.
DOI: 10.5281/zenodo.18322685
title: Trixis glaberrima Less. 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 16:56
DOI: 10.5281/zenodo.18322686
title: Trixis glaberrima Less. 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 16:56
DOI: 10.15468/dl.rubmfz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((65.85277 37.24421,102.14723 37.24421,102.14723 51.75579,65.85277 51.75579,65.85277 37.24421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus ornithorrhynchus"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001737-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dybd69
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.695 5.100152, 100.62446 5.094582, 100.555661 5.078008, 100.490299 5.05084, 100.429986 5.013748, 100.37621 4.967647, 100.330294 4.913673, 100.293368 4.853157, 100.26634 4.787592, 100.249874 4.718591, 100.24437 4.647856, 100.249962 4.577127, 100.266509 4.508147, 100.2936 4.442613, 100.330567 4.382137, 100.376497 4.328206, 100.430259 4.282149, 100.490531 4.245096, 100.55583 4.217959, 100.624549 4.201406, 100.695 4.195842, 100.765451 4.201406, 100.83417 4.217959, 100.899469 4.245096, 100.959741 4.282149, 101.013503 4.328206, 101.059433 4.382137, 101.0964 4.442613, 101.123491 4.508147, 101.140038 4.577127, 101.14563 4.647856, 101.140126 4.718591, 101.12366 4.787592, 101.096632 4.853157, 101.059706 4.913673, 101.01379 4.967647, 100.960014 5.013748, 100.899701 5.05084, 100.834339 5.078008, 100.76554 5.094582, 100.695 5.100152))"},{"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 84 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001738-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18322677
title: SUV HAVZALARINING SANITARIYA-GIGIYENIK HOLATI VA AHOLI O'RTASIDA YUQUMLI HAMDA SURUNKALI KASALLIKLAR TARQALISHI O'RTASIDAGI BOG'LIQLIK

description: Suv havzalari aholi hayotida muhim ekologik va sanitariya ahamiyatiga ega bo‘lib, ularning gigiyenik holati jamoat salomatligiga bevosita ta’sir ko‘rsatadi. Ushbu tezisda suv havzalarining sanitariya-gigiyenik holati hamda aholi o‘rtasida yuqumli va surunkali kasalliklarning tarqalishi o‘rtasidagi bog‘liqlik tahlil qilindi. Tadqiqot natijalari suv havzalarining ifloslanishi yuqumli kasalliklar bilan bir qatorda ayrim surunkali kasalliklar rivojlanish xavfini oshirishini ko‘rsatdi.
DOI: 10.5281/zenodo.18322678
title: SUV HAVZALARINING SANITARIYA-GIGIYENIK HOLATI VA AHOLI O'RTASIDA YUQUMLI HAMDA SURUNKALI KASALLIKLAR TARQALISHI O'RTASIDAGI BOG'LIQLIK

description: Suv havzalari aholi hayotida muhim ekologik va sanitariya ahamiyatiga ega bo‘lib, ularning gigiyenik holati jamoat salomatligiga bevosita ta’sir ko‘rsatadi. Ushbu tezisda suv havzalarining sanitariya-gigiyenik holati hamda aholi o‘rtasida yuqumli va surunkali kasalliklarning tarqalishi o‘rtasidagi bog‘liqlik tahlil qilindi. Tadqiqot natijalari suv havzalarining ifloslanishi yuqumli kasalliklar bilan bir qatorda ayrim surunkali kasalliklar rivojlanish xavfini oshirishini ko‘rsatdi.
DOI: 10.5281/zenodo.18322691
title: Strychnos 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 16:55
DOI: 10.5281/zenodo.18322692
title: Strychnos 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 16:55