cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18527962
title: Vaccine Cold-Chain Cyber-Physical Logistics Dataset

description: The released dataset, Vaccine Cold-Chain Cyber–Physical Logistics Dataset (VCC-CPLD), comprises 445,603 time-indexed records collected at a 1-minute sampling resolution, covering observations up to 31 December 2025, 23:59:00. Each record represents a cold-chain monitoring snapshot linked to a federated operational site through a client identifier and shipment context attributes such as shipment ID, lot ID, vaccine type, packaging type, route stage, and geographic region code. This structure supports analytical modeling under heterogeneous and non-IID operating conditions distributed across multiple cold-chain logistics nodes.

The feature space integrates multiple cyber–physical dimensions. Environmental telemetry includes internal and ambient temperature, setpoint temperature, rolling minimum/maximum/standard deviation statistics, thermal excursion counts, humidity and condensation indicators, as well as vibration, shock, tilt, and door or light exposure activity. Refrigeration and electronics health signals capture compressor and fan operation, pressure levels, battery and power modes, outage events, defrost and controller resets, firmware versions, and calibration age.

Logistics and mobility descriptors include transport speed, estimated time of arrival, dwell and handoff durations, shipment load status, traffic and weather risk indices, time since pack-out, and cumulative transit duration. Cybersecurity telemetry records network traffic volume, packet transmission rate, failed authentication attempts, scan and DNS anomalies, device join events, TLS failures, and remote session activities. Host integrity logs further document process executions, privilege escalation incidents, file integrity violations, firmware updates, reboot history, CPU/memory/disk utilization, and telemetry log gaps.

Sensor trust indicators quantify telemetry reliability through time-synchronization offsets, sensor ID changes, replay likelihood scores, checksum mismatches, signal jitter, and statistical outlier measures. In parallel, potency and bio-stability proxies include vaccine vial monitor status, cumulative exposure integrals, duration above or below thermal thresholds, freeze events, thermal dose accumulation, stability classification, remaining shelf life estimates, thaw–refreeze counts, and composite potency proxy scores.

For supervised multi-task learning, the dataset provides an attack_type label with six intrusion classes and a continuous potency_remaining_pct_t_plus_H target representing predicted residual potency at a 360-minute forecasting horizon. A derived binary label, safe_to_use_flag_t_plus_H, indicates whether vaccine viability remains within safe administration thresholds at the same prediction interval.
DOI: 10.15468/dl.tqaqwu
title: Occurrence Download

description: A dataset containing 1191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Leucaena leucocephala"
 ]
}

 The dataset includes 1191 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002059-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18532903
title: Propuesta de Especiación Críptica en el Género Homo: El Caso del Homo Novus.

description: El presente trabajo postula la aparición contemporánea de una rama evolutiva dentro del linaje humano, denominada provisionalmente como "Homo novus". A diferencia del modelo de equilibrio puntuado tradicional, se propone un modelo de especiación críptica impulsado por una reestructuración cromosómica de 2n=46 a 2n=44. Se identifica a los individuos con translocaciones Robertsonianas (2n=45) como los "organismos puente" necesarios para este salto. La tesis sostiene que el aislamiento reproductivo ya está ocurriendo de forma silenciosa, oculto por la falta de acceso global a diagnósticos citogenéticos masivos y sesgos en la interpretación médica de la infertilidad.
DOI: 10.5281/zenodo.18532904
title: Propuesta de Especiación Críptica en el Género Homo: El Caso del Homo Novus.

description: El presente trabajo postula la aparición contemporánea de una rama evolutiva dentro del linaje humano, denominada provisionalmente como "Homo novus". A diferencia del modelo de equilibrio puntuado tradicional, se propone un modelo de especiación críptica impulsado por una reestructuración cromosómica de 2n=46 a 2n=44. Se identifica a los individuos con translocaciones Robertsonianas (2n=45) como los "organismos puente" necesarios para este salto. La tesis sostiene que el aislamiento reproductivo ya está ocurriendo de forma silenciosa, oculto por la falta de acceso global a diagnósticos citogenéticos masivos y sesgos en la interpretación médica de la infertilidad.
DOI: 10.15468/dl.uqjxfc
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garcinia bancana"
 ]
}

 The dataset includes 318 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002060-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s58vgf
title: Occurrence Download

description: A dataset containing 208873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucorrhinia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 208873 records from 602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002048-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu6vgd
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((116.928 7.507,121.335 7.507,121.335 12.67,116.928 12.67,116.928 7.507))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 52 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002061-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h6yk6
title: Occurrence Download

description: A dataset containing 42245 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= 109.37183140870387
 AND decimallongitude &lt;= 119.88149504725064
 AND GBIF_Within('POLYGON ((119.881495 37.428574, 119.881495 41.894152, 109.371831 41.894152, 109.371831 37.428574, 119.881495 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 42245 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002058-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdb272
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((116.928 7.507,121.335 7.507,121.335 12.67,116.928 12.67,116.928 7.507))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Halictidae"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002062-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rhzhm
title: Occurrence Download

description: A dataset containing 5283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Specimen, Material citation, Material sample, Human Observation, Machine Observation, Observation)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cryptomeria"
 ]
}

 The dataset includes 5283 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002064-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8uu3z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((116.928 7.507,121.335 7.507,121.335 12.67,116.928 12.67,116.928 7.507))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Megachilidae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002066-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7cy2q
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kenya",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes aegypti"
 ]
}

 The dataset includes 715 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002067-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.728
title: First detailed record of Jikradia olitoria (Hemiptera: Cicadellidae) in the Swiss southern Alps and evaluation of its current potential as a vector of 16SrV-phytoplasmas

description: Jikradia olitoria Say is a Nearctic leafhopper that was recently identified in several European countries. Given its role as the vector of phytoplasmas associated with Grapevine Yellows diseases (GYD) in its native range, its presence in European vineyard agroecosystems could represent an important phytosanitary risk.
Systematic monitoring conducted over two consecutive years (i.e., 2023 and 2024) using chromotropic traps in seven sites allowed to confirm its widespread presence in the southern Alps, both inside vineyards as well as in the nearby forest edge compartment. Moreover, a subset of the collected specimens was analyzed to test potential infection by phytoplasmas associated with Flavescence dorée.
description: Resource Title: Supplementary_table3 - Hatching events
 Size: 15852 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/588d922d-1acd-4eab-9693-c76d4cf7d9a6/download/supplementary_table3.xlsx
 Description: Hatching events in 2024 and 2025.
description: Resource Title: Supplementary_table2 - Trap captures 2024
 Size: 165550 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/bba02f83-22d2-48d3-8d60-39e03be1cfb6/download/supplementary_table2.xlsx
 Description: Trap captures in 2024.
description: Resource Title: Table2 - Jikradia olitoria hatching events
 Size: 15278 bytes
 Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
 URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/7bf9a0ee-2111-4144-8f11-f4f35784b74c/download/table2.docx
 Description: Jikradia olitoria hatching events divided by year and wood type. For the hatching experiment, wood was collected from the Giornico site due to the large J. olitoria adult population observed in 2023.
description: Resource Title: Table1 - Jikradia olitoria total captures
 Size: 21647 bytes
 Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
 URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/05806ade-fd08-4bfa-b2bb-a0991dec3377/download/table1.docx
 Description: Jikradia olitoria total captures divided by plot and trap type, mean captures per trap and ratio between the two sampling years. YST/plot = yellow sticky traps installed in each plot, L = landscape YST, V = vineyard YST, N YST = overall number of processed YST throughout the experiment.
description: Resource Title: Supplementary_table1 - Trap captures 2023
 Size: 144783 bytes
 Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
 URL: https://www.envidat.ch/dataset/83726448-91da-423c-8eb4-28a195c7f40a/resource/8c89de75-a018-44c1-b913-346b1dbc5356/download/supplementary_table1.xlsx
 Description: Trap captures in 2023.
DOI: 10.15468/dl.ev8vhf
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen)",
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sciadopitys"
 ]
}

 The dataset includes 305 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002070-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18533320
title: Il tempo la velocità l'accelerazione e la decelerazione
DOI: 10.5281/zenodo.18533319
title: Il tempo la velocità l'accelerazione e la decelerazione
DOI: 10.5281/zenodo.18533573
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.5281/zenodo.18533338
title: Feedback for SciComm ThinkLabs: Survey Questionnaire and Responses

description: This dataset contains the full survey questionnaire and anonymised participant responses from the SciComm ThinkLabs (2023–24), a practitioner-led collaborative inquiry convened by FAST India to examine the state of science communication and public engagement in India. The survey was designed to capture participants’ experiences of working within the ThinkLabs process, including motivations, challenges, group dynamics, perceived value, and reflections on the initiative’s impact. Responses provide insight into how practitioners engaged with the six-month process, how they assessed the tools and facilitation structures, and what they believe is needed to strengthen future cycles of collaborative sector-building in SciComm. The dataset is shared to support transparency, enable further analysis, and contribute to emerging research on science communication practice and communities of practice in India.
DOI: 10.5281/zenodo.18533253
title: National Database Request–Blockchain Audit Security Dataset

description: The dataset captures real-world national database access activity collected from operational smart-government service infrastructures supporting multi-department digital transactions. It contains 455,603 anonymized access-request records reflecting diverse identity roles, authorization policies, service interactions, and blockchain-anchored audit events. Each record integrates request behavior, session context, network conditions, and permissioned-ledger verification metadata to enable trustworthy misuse detection research.

The feature space includes request semantics, identity attributes, operational workload indicators, and blockchain validation signals such as transaction hashes, smart-contract execution outcomes, validator confirmations, and audit timestamps. Security outcomes are labeled into four governance-critical classes: legitimate access, policy violation, insider misuse, and malicious or injection attempts, supporting dependable access monitoring and forensic analytics.
DOI: 10.5281/zenodo.18533252
title: National Database Request–Blockchain Audit Security Dataset

description: The dataset captures real-world national database access activity collected from operational smart-government service infrastructures supporting multi-department digital transactions. It contains 455,603 anonymized access-request records reflecting diverse identity roles, authorization policies, service interactions, and blockchain-anchored audit events. Each record integrates request behavior, session context, network conditions, and permissioned-ledger verification metadata to enable trustworthy misuse detection research.

The feature space includes request semantics, identity attributes, operational workload indicators, and blockchain validation signals such as transaction hashes, smart-contract execution outcomes, validator confirmations, and audit timestamps. Security outcomes are labeled into four governance-critical classes: legitimate access, policy violation, insider misuse, and malicious or injection attempts, supporting dependable access monitoring and forensic analytics.
DOI: 10.5281/zenodo.18533339
title: Feedback for SciComm ThinkLabs: Survey Questionnaire and Responses

description: This dataset contains the full survey questionnaire and anonymised participant responses from the SciComm ThinkLabs (2023–24), a practitioner-led collaborative inquiry convened by FAST India to examine the state of science communication and public engagement in India. The survey was designed to capture participants’ experiences of working within the ThinkLabs process, including motivations, challenges, group dynamics, perceived value, and reflections on the initiative’s impact. Responses provide insight into how practitioners engaged with the six-month process, how they assessed the tools and facilitation structures, and what they believe is needed to strengthen future cycles of collaborative sector-building in SciComm. The dataset is shared to support transparency, enable further analysis, and contribute to emerging research on science communication practice and communities of practice in India.
DOI: 10.15468/dl.mbcq5g
title: Occurrence Download

description: A dataset containing 43408 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= 115.12824358810933
 AND decimallongitude &lt;= 125.87556979961315
 AND GBIF_Within('POLYGON ((125.875570 37.428574, 125.875570 41.894152, 115.128244 41.894152, 115.128244 37.428574, 125.875570 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 43408 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002068-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53a8a5
title: Occurrence Download

description: A dataset containing 3092 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Specimen, Material citation, Material sample, Human Observation, Machine Observation, Observation)",
 "Country is one of (China, Chinese Taipei, Viet Nam, Cambodia, Lao People’s Democratic Republic)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cunninghamia"
 ]
}

 The dataset includes 3092 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002072-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18531803
title: ECHIDNA: Extreme Climate Historical and Future Indices Data under Numerous Approaches across Major Chinese River Basins Based on CMIP6 Multi-Model Ensemble (reference period)  (Part 1/2)

description: Bulk-uploaded extreme climate indices outputs generated by icclim (reference).
DOI: 10.5281/zenodo.18531804
title: ECHIDNA: Extreme Climate Historical and Future Indices Data under Numerous Approaches across Major Chinese River Basins Based on CMIP6 Multi-Model Ensemble (reference period)  (Part 1/2)

description: Bulk-uploaded extreme climate indices outputs generated by icclim (reference).
DOI: 10.5281/zenodo.18531353
title: SuperDARN data in netCDF format (2021-Feb)

description: 2021-Feb SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'