cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/sd8-6e1-6p4
title: Thesium humile Vahl

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/1js-ggg-fdh
title: Erodium L'Hér.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/3r3-av1-31b
title: Erigeron acris L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.17632/bsdgvzyzn3
title: supplymentary data for brief report 2025.10.17

description: We identified 13 preferred terms (PTs) related to herpes virus infections and categorized them into all herpes events, HSV-related events, VZV-related events, and severe herpes events (eczema herpeticum, EH). For each category, we calculated four disproportionality metrics: reporting odds ratio (ROR), proportional reporting ratio (PRR), empirical bayes geometric mean (EBGM), and information component (IC). In addition, subgroup analyses by sex and age were applied. Time-to-onset (TTO) was calculated from treatment start to event onset. See Supplementary table 1-3 for details.
The sex and age subgroup analyses show that age and sex should be integrated into individual patient risk assessment and monitoring strategies. Females showed higher susceptibility to most herpetic infection–related events. Abrocitinib signals peaked in adolescents (0–17 years), while patterns in adults (18–64 years) resembled the overall population. In the elderly (≥65 years), baricitinib showed stronger signals for all herpes and VZV events (supplementary figure1-2)
Supplementary 1-3 presents the classification criteria for 13 PT terms, the specific numerical values and calculation methods for each major category under each drug, as well as the standards for the four positive signal indicators. Supplementary Figure 1-2 presents the results of the subgroup analysis by gender and age.
DOI: 10.3535/rxy-sz4-70k
title: Clematis flammula L. x Clematis viticella L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/tma-gzm-yhb
title: Ornithogalum collinum Guss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ty1-96q-4c2
title: Ornithogalum boucheanum (Kunth) Asch.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.17632/bsdgvzyzn3.1
title: supplymentary data for brief report 2025.10.17

description: We identified 13 preferred terms (PTs) related to herpes virus infections and categorized them into all herpes events, HSV-related events, VZV-related events, and severe herpes events (eczema herpeticum, EH). For each category, we calculated four disproportionality metrics: reporting odds ratio (ROR), proportional reporting ratio (PRR), empirical bayes geometric mean (EBGM), and information component (IC). In addition, subgroup analyses by sex and age were applied. Time-to-onset (TTO) was calculated from treatment start to event onset. See Supplementary table 1-3 for details.
The sex and age subgroup analyses show that age and sex should be integrated into individual patient risk assessment and monitoring strategies. Females showed higher susceptibility to most herpetic infection–related events. Abrocitinib signals peaked in adolescents (0–17 years), while patterns in adults (18–64 years) resembled the overall population. In the elderly (≥65 years), baricitinib showed stronger signals for all herpes and VZV events (supplementary figure1-2)
Supplementary 1-3 presents the classification criteria for 13 PT terms, the specific numerical values and calculation methods for each major category under each drug, as well as the standards for the four positive signal indicators. Supplementary Figure 1-2 presents the results of the subgroup analysis by gender and age.
DOI: 10.3535/165-f6m-5sf
title: Muscari Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/1s3-ctq-a50
title: Anthemis L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/mlt-2xm-hwc
title: Hippocrepis L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/3dj-42n-l0d
title: Nolletia chrysocomoides Cass.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/awe-xhl-csy
title: Cionura erecta (L.) Griseb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/sf7-j86-h95
title: Doronicum glaciale subsp. glaciale (Wulfen) Nyman

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/09d-sv5-hlw
title: Verbascum parviflorum Lam.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/lla-qyp-0r8
title: Heracleum L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/rpd-shg-xjq
title: Ornithogalum nutans L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/vle-3kn-sjd
title: Isatis L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.17632/bh8f7d62w2
title: CMDS-2017

description: Title: China Migrants Dynamic Survey (CMDS), 2017 Wave
Producer: National Health Commission of the People’s Republic of China, Department of Migrant Population
Year of Data Collection: 2017
Geographical Coverage: Mainland China (31 provinces, autonomous regions, and municipalities)
Unit of Analysis: Individual and household

Overview:
The China Migrants Dynamic Survey (CMDS) is a large-scale, nationally representative survey program designed to monitor the demographic, socioeconomic, and health conditions of China’s internal migrant population. Conducted annually since 2009 by the National Health Commission, the CMDS collects comprehensive information on the living conditions, migration patterns, family structure, employment, public service access, social integration, and well-being of migrants without local household registration (hukou) in their city of residence.

The 2017 wave (CMDS-2017) employed a multi-stage stratified sampling method with probability proportional to size (PPS) to ensure national representativeness. The target population includes individuals aged 15 years and above who had lived in the survey destination for at least one month and did not hold local hukou status. Data were collected through face-to-face interviews conducted by trained enumerators, following standardized national procedures.

Sample Size:
Approximately 169,989 respondents across 31 provincial-level administrative units.
DOI: 10.3535/ne9-rg5-d16
title: Symphytum L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ral-yl5-nwf
title: Chaenorhinum rubrifolium subsp. gerense (Stapf) D. A. Sutton

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/yb1-rwr-xkk
title: Goldbachia laevigata (M. Bieb.) DC.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/spj-r0k-cdr
title: Muscari Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/yqa-pn6-pqp
title: Valeriana montana L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.23620.27527
title: Studie Brosow-Luckner Fachwissenschaft - FINIS
DOI: 10.15468/dl.3j9drb
title: Occurrence Download

description: A dataset containing 1221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Atelerix algirus",
 "Year 2015-2025"
 ]
}

 The dataset includes 1221 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030404-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bh8f7d62w2.1
title: CMDS-2017

description: Title: China Migrants Dynamic Survey (CMDS), 2017 Wave
Producer: National Health Commission of the People’s Republic of China, Department of Migrant Population
Year of Data Collection: 2017
Geographical Coverage: Mainland China (31 provinces, autonomous regions, and municipalities)
Unit of Analysis: Individual and household

Overview:
The China Migrants Dynamic Survey (CMDS) is a large-scale, nationally representative survey program designed to monitor the demographic, socioeconomic, and health conditions of China’s internal migrant population. Conducted annually since 2009 by the National Health Commission, the CMDS collects comprehensive information on the living conditions, migration patterns, family structure, employment, public service access, social integration, and well-being of migrants without local household registration (hukou) in their city of residence.

The 2017 wave (CMDS-2017) employed a multi-stage stratified sampling method with probability proportional to size (PPS) to ensure national representativeness. The target population includes individuals aged 15 years and above who had lived in the survey destination for at least one month and did not hold local hukou status. Data were collected through face-to-face interviews conducted by trained enumerators, following standardized national procedures.

Sample Size:
Approximately 169,989 respondents across 31 provincial-level administrative units.
DOI: 10.3535/d44-yqk-7cw
title: Calendula alata Rech. f.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/fnz-jws-bt1
title: Umbelliferae Juss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/wv8-vgn-5yn
title: Romulea Maratti

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/2jg-e95-mdy
title: Onosma L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/bqr-mzs-h6v
title: Hornungia alpina (L.) O. Appel

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/p5q-sjn-ta6
title: Helianthemum lippii (L.) Dum. Cours.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.17632/p2kgkb5cd2
title: Bangladesh Road Traffic Accident Dataset (2007–2024): Multi-Source Integration from ARI, BRTA, DMP, MP Unit.

description: This dataset presents a comprehensive compilation of 49,566 road traffic accident records from Bangladesh, meticulously consolidated from four authoritative institutional sources: the Accident Research Institute (ARI) of BUET, the Bangladesh Road Transport Authority (BRTA), the Dhaka Metropolitan Police (DMP), and the Military Police (MP) Unit, along with a primary dataset collected directly through structured reporting forms. Spanning a 17-year period (2007–2024), it integrates diverse data streams into a unified, structured, and research-ready resource for traffic safety and accident analysis. Specifically, ARI contributed historical accident records from 2007–2021, BRTA provided official national accident statistics for 2024, DMP supplied detailed urban traffic incident logs from 2020–2024, and the MP Unit furnished verified accident reports covering the same recent period. Additionally, the primary dataset collected via forms captures incident details directly from field reports, ensuring high granularity and accuracy in recorded attributes.

The dataset captures a rich variety of attributes, including:

Temporal Information: Exact date, time, and year of each recorded accident.

Geospatial Data: Detailed location descriptions with latitude and longitude coordinates for spatial analysis.

Incident Narratives: Text-based summaries describing the circumstances of each accident.

Vehicle and Victim Data: Vehicle types, collision categories, number of vehicles involved, casualty counts, injury details, and victim classifications.

Environmental Conditions: Light levels, weather conditions, and road surface status at the time of the incident.

Road and Infrastructure Attributes: Road classification, nature, connection type, surface condition, junction types, and traffic control measures.

Accident Severity Indicators: Death and injury counts, as well as accident intensity classifications.

Preliminary statistical and correlation analyses conducted on the dataset reveal generally weak linear relationships between predictive features and accident severity, suggesting that traditional linear modeling techniques may have limited predictive capability. Consequently, advanced ensemble-based machine learning approaches, which can capture non-linear interactions, mitigate overfitting, and improve predictive robustness, are recommended for modeling and forecasting purposes.

This dataset offers a robust empirical foundation for diverse research and policy applications, including traffic safety assessments, accident hotspot mapping, predictive risk modeling, urban transport infrastructure planning, and evidence-based road safety policy formulation. The inclusion of both institutional records and primary field-collected data ensures a level of depth, reliability, and coverage that makes this dataset an invaluable resource for academics, policymakers, urban planners, and data scientists addressing road safety challenges in Bangladesh.
DOI: 10.3535/3dz-1ly-ccz
title: Morettia philaeana (Delile) DC.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/4hm-mwf-dsp
title: Ziziphus lotus (L.) Lam.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/v8z-1lz-cc6
title: Centaurea aphrodisea Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/1nz-9tv-5xf
title: Schimpera arabica Hochst. & Steud.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/2pb-00g-0g4
title: Honorius Gray

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/8cj-gjg-dry
title: Romulea Maratti

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.17632/p2kgkb5cd2.2
title: Bangladesh Road Traffic Accident Dataset (2007–2024): Multi-Source Integration from ARI, BRTA, DMP, MP Unit.

description: This dataset presents a comprehensive compilation of 49,566 road traffic accident records from Bangladesh, meticulously consolidated from four authoritative institutional sources: the Accident Research Institute (ARI) of BUET, the Bangladesh Road Transport Authority (BRTA), the Dhaka Metropolitan Police (DMP), and the Military Police (MP) Unit, along with a primary dataset collected directly through structured reporting forms. Spanning a 17-year period (2007–2024), it integrates diverse data streams into a unified, structured, and research-ready resource for traffic safety and accident analysis. Specifically, ARI contributed historical accident records from 2007–2021, BRTA provided official national accident statistics for 2024, DMP supplied detailed urban traffic incident logs from 2020–2024, and the MP Unit furnished verified accident reports covering the same recent period. Additionally, the primary dataset collected via forms captures incident details directly from field reports, ensuring high granularity and accuracy in recorded attributes.

The dataset captures a rich variety of attributes, including:

Temporal Information: Exact date, time, and year of each recorded accident.

Geospatial Data: Detailed location descriptions with latitude and longitude coordinates for spatial analysis.

Incident Narratives: Text-based summaries describing the circumstances of each accident.

Vehicle and Victim Data: Vehicle types, collision categories, number of vehicles involved, casualty counts, injury details, and victim classifications.

Environmental Conditions: Light levels, weather conditions, and road surface status at the time of the incident.

Road and Infrastructure Attributes: Road classification, nature, connection type, surface condition, junction types, and traffic control measures.

Accident Severity Indicators: Death and injury counts, as well as accident intensity classifications.

Preliminary statistical and correlation analyses conducted on the dataset reveal generally weak linear relationships between predictive features and accident severity, suggesting that traditional linear modeling techniques may have limited predictive capability. Consequently, advanced ensemble-based machine learning approaches, which can capture non-linear interactions, mitigate overfitting, and improve predictive robustness, are recommended for modeling and forecasting purposes.

This dataset offers a robust empirical foundation for diverse research and policy applications, including traffic safety assessments, accident hotspot mapping, predictive risk modeling, urban transport infrastructure planning, and evidence-based road safety policy formulation. The inclusion of both institutional records and primary field-collected data ensures a level of depth, reliability, and coverage that makes this dataset an invaluable resource for academics, policymakers, urban planners, and data scientists addressing road safety challenges in Bangladesh.
DOI: 10.3535/119-0xc-yl8
title: Centaurea cariensis Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/aa0-a4k-q7q
title: Oenanthe pimpinelloides L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/dhx-2q2-zyh
title: Enarthrocarpus strangulatus Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/fky-f19-gxr
title: Rostraria salzmannii (Boiss. & Reut.) Holub

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/nqa-jql-lvg
title: Leontodon L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/tjy-6fn-70x
title: Anthemis odontostephana Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/53t-4p7-v60
title: Savignya parviflora subsp. globosa Jafri

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/95e-c2q-sr1
title: Muscari Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/cpl-1dm-scq
title: Draba verna L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/2pr-p00-h9b
title: Leontodon L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/pqr-pgm-hx7
title: Honorius Gray

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/vde-25k-3z7
title: Honorius Gray

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/5l5-jwh-xbl
title: Onosma L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/cey-l6j-2qt
title: Ornithogalum lychnite Speta

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/fdd-p7n-bsw
title: Hieracium rohacsense Kit.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/sez-252-ldz
title: Orchis ustulata L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/t91-416-53e
title: Romulea Maratti

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/zxl-qec-bsg
title: Erucaria microcarpa Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/bkq-7nx-gp2
title: Clematis L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/fns-j4k-aqy
title: Heracleum platytaenium Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/t7y-reb-sh5
title: Isopyrum thalictroides L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.10978.38082
title: Photos of Gryllodea from Sao Tome (Mount Cafe)
DOI: 10.3535/9xj-qyq-t63
title: Muscari Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/fqp-ag0-pcb
title: Aconitum L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.17269.83686
title: grafik pertumbuhan ayam KUB berbasis RT di kab pandeglang dg perbedaan tingkat protein dan suplementasi methionine di pandeglang 2018
DOI: 10.3535/m1g-3dk-a0s
title: Muscari Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/swy-z23-9zf
title: Sclerocephalus arabicus Boiss.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/zl2-3mb-w85
title: Oenanthe pimpinelloides L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/a4h-gge-ktm
title: Muscari Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/qe1-1rz-9tk
title: Ornithogalum lychnite Speta

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/ya6-we6-j6g
title: Delphinium L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/8z0-vz0-apr
title: Moehringia ciliata (Scop.) Dalla Torre

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/fn8-d98-qce
title: Verbascum lasianthum Boiss. ex Benth.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/zjz-vbs-pmp
title: Cruciata Mill.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.17632/d9793n58kz
title: Western blots for Broad inhibition of virus replication by engineered Recombinant Enhanced AntiViral Restrictors (REAVRs)

description: Uncropped western blots
DOI: 10.3535/n46-r22-8wq
title: Thlaspi L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/t9y-sv4-0n6
title: Astragalus asper Jacq.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/zt6-ska-9l0
title: Helleborus L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.13140/rg.2.2.28017.74089
title: Los Tambores de Siloé, footage, watch it here: https://www.youtube.com/playlist?list=PLABX5nr5YEhH0O8nKZmB8LbpZhPhWnnmR
DOI: 10.17632/d9793n58kz.1
title: Western blots for Broad inhibition of virus replication by engineered Recombinant Enhanced AntiViral Restrictors (REAVRs)

description: Uncropped western blots
DOI: 10.3535/aqy-2qp-0e4
title: Chaerophyllum temulum L.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/x1r-eec-h6m
title: Centaurea urvillei DC.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.