cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3gqk82
title: Occurrence Download

description: A dataset containing 493529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ondatra zibethicus",
 "DatasetKey is one of (VMM - Rat control occurrences in Flanders, Belgium, Muskrat captures in Flanders, Belgium, MICA - Muskrat occurrences collected by RATO in East Flanders, Belgium, MICA - Muskrat occurrences collected by VMM in Flanders, Belgium, RATO - Daily operations commissioned by the province East Flanders, Belgium)"
 ]
}

 The dataset includes 493529 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005920-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18452396
title: A Multidimensional Bayesian Framework for Modeling Collective Dynamics in Human-AI Symbiosis: Integrating Postphenomenological, Biological, and Engineering Perspectives

description: This conceptual paper proposes a novel multidimensional Bayesian framework for modeling the collective dynamics emerging from human-AI symbiotic interactions. Drawing on postphenomenological insights, we conceptualize human-technology relations as co-constitutive processes that transcend individual agency, incorporating biological analogies (e.g., neural plasticity and ecosystem resilience) and engineering principles (e.g., feedback control systems and fault-tolerant design). The framework employs Bayesian inference and advanced active inference principles to quantify uncertainty and minimize surprise in decision-making processes, supported by rigorous mathematical derivations including stochastic differential equations, detailed free energy minimization, Itô calculus solutions, Fokker-Planck equations, and policy evaluation, Python-based agent-based simulations using real-world datasets, advanced sensitivity analysis with Sobol indices computed via Monte Carlo methods, quantitative statistics including mutual information, Bayesian evidence synthesis, uncertainty quantification via Kullback-Leibler divergence, and falsifiability assessments. We demonstrate the model's applicability through simulated healthcare, social robotics, medical robotics including robotic surgery, AI applications in healthcare, and smart city scenarios, providing a manufacturing roadmap for AI system deployment, laboratory validation protocols, and experimental designs. This work advances the discourse in human-technology relations by offering a falsifiable, replicable model that bridges philosophical, scientific, and practical domains, with implications for ethical AI design in collective contexts.
DOI: 10.5281/zenodo.18427805
title: Análise espaço-temporal da mortalidade por leishmaniose visceral no Brasil, 2015-2024

description: Objetivo: Analisar o padrão de distribuição espaço-temporal da mortalidade por leishmaniose visceral no Brasil, no período de 2015-2024. Métodos: Tratou-se de um estudo retrospectivo do tipo análise de série temporal com abordagem espacial, utilizando dados de domínio público Departamento de Informática do Sistema Único de Saúde. Resultados: Foram registrados 816 óbitos por leishmaniose visceral no Brasil, com tendência de declínio ao longo do período, mais acentuada a partir de 2017, predominando em indivíduos do sexo masculino e com faixa etária de 20 a 59 anos. A análise espacial revelou heterogeneidade espacial, com aglomerados persistentes de alta mortalidade concentrados nas regiões Norte e Nordeste, com destaque para os estados do Maranhão, Piauí, Ceará, Pará e Tocantins, sugerindo estabilidade temporal desses padrões. Conclusão: A mortalidade por leishmaniose visceral no Brasil apresenta redução temporal recente, porém mantém padrões espaciais persistentes e desiguais, concentrados em territórios historicamente vulneráveis. Os achados reforçam a necessidade de estratégias territoriais direcionadas para o fortalecimento da vigilância epidemiológica e da atenção à saúde.
DOI: 10.5281/zenodo.18427804
title: Análise espaço-temporal da mortalidade por leishmaniose visceral no Brasil, 2015-2024

description: Objetivo: Analisar o padrão de distribuição espaço-temporal da mortalidade por leishmaniose visceral no Brasil, no período de 2015-2024. Métodos: Tratou-se de um estudo retrospectivo do tipo análise de série temporal com abordagem espacial, utilizando dados de domínio público Departamento de Informática do Sistema Único de Saúde. Resultados: Foram registrados 816 óbitos por leishmaniose visceral no Brasil, com tendência de declínio ao longo do período, mais acentuada a partir de 2017, predominando em indivíduos do sexo masculino e com faixa etária de 20 a 59 anos. A análise espacial revelou heterogeneidade espacial, com aglomerados persistentes de alta mortalidade concentrados nas regiões Norte e Nordeste, com destaque para os estados do Maranhão, Piauí, Ceará, Pará e Tocantins, sugerindo estabilidade temporal desses padrões. Conclusão: A mortalidade por leishmaniose visceral no Brasil apresenta redução temporal recente, porém mantém padrões espaciais persistentes e desiguais, concentrados em territórios historicamente vulneráveis. Os achados reforçam a necessidade de estratégias territoriais direcionadas para o fortalecimento da vigilância epidemiológica e da atenção à saúde.
DOI: 10.15468/dl.9k54k5
title: Occurrence Download

description: A dataset containing 4162939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4162939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005898-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y964k2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Coffea arabica",
 "Country is Argentina"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005924-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18452415
title: Appendix: ai_alt-text_conf

description: This record provides the supplementary materials for our conference paper evaluating how mainstream, general-purpose generative AI models generate WCAG-aligned alternative text under a standardized protocol. It includes the 37-image gold-standard reference set, the study webpage (HTML+images with intentionally empty alt=""), model outputs, and ROUGE scoring spreadsheets/figures used for analysis.
DOI: 10.5281/zenodo.18452414
title: Appendix: ai_alt-text_conf

description: This record provides the supplementary materials for our conference paper evaluating how mainstream, general-purpose generative AI models generate WCAG-aligned alternative text under a standardized protocol. It includes the 37-image gold-standard reference set, the study webpage (HTML+images with intentionally empty alt=""), model outputs, and ROUGE scoring spreadsheets/figures used for analysis.
DOI: 10.15468/dl.r8b8zz
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Alnus viridis sinuata",
 "Year 2000-2026"
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005925-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnh7pf
title: Occurrence Download

description: A dataset containing 1354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110.13057 -66.59975,110.86804 -66.59975,110.86804 -66.13967,110.13057 -66.13967,110.13057 -66.59975))",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 1354 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005926-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwxrbh
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Commiphora kua",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 435 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005927-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18452413
title: HyGBR-Baseflow: A hybrid machine learning approach to enhance the baseflow estimation across India
DOI: 10.5281/zenodo.18452412
title: HyGBR-Baseflow: A hybrid machine learning approach to enhance the baseflow estimation across India
DOI: 10.15468/dl.umnsf9
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((110.13057 -66.59975,110.86804 -66.59975,110.86804 -66.13967,110.13057 -66.13967,110.13057 -66.59975))",
 "OccurrenceStatus is Present",
 "TaxonKey is Marchantiophyta"
 ]
}

 The dataset includes 98 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005929-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2dgbdm
title: CCDC 2218310: Experimental Crystal Structure Determination

description: Related Article: Rashmi Sharma, Susmita Sarkar, Jagannath  Mondal* and Pinaki Talukdar*|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kytp1
title: CCDC 2382154: Experimental Crystal Structure Determination

description: Related Article: Rashmi Sharma, Susmita Sarkar, Sandip Chattopadhayay, Jagannath Mondal, and Pinaki Talukdar|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kytq2
title: CCDC 2382155: Experimental Crystal Structure Determination

description: Related Article: Rashmi Sharma, Susmita Sarkar, Sandip Chattopadhayay, Jagannath Mondal, and Pinaki Talukdar|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2mm44k
title: CCDC 2431458: Experimental Crystal Structure Determination

description: Related Article: Rashmi Sharma, Susmita Sarkar, Sandip Chattopadhayay, Kavan Nandaniya, Jagannath Mondal, and Pinaki Talukdar|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.wgt8j6
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dacryodes laxa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 135 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005930-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3hc67
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplolobus floribundus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 186 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005932-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26186/147592
title: Mineralogy Database

description: The Geoscience Australia (GA) Minerology database contains the mineralogical analyses (eg, heavy mineral analysis, XRD analyses), analytical parameters, preparation methods, sample minerals and mineralogical properties from rock and regolith materials. The majority of the analysed samples are from the Exploring for the Future most notability the Barkley-Isa-Georgetown (BIG), and Darling-Curnamona-Delamarian (DCD) projects. The data set is currently used for internal GA consumption and is served off an application within the GA portal.

The resource is accessible via the Geoscience Australia Portal (https://portal.ga.gov.au/)
DOI: 10.15468/dl.rc6qnq
title: Occurrence Download

description: A dataset containing 163680 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'GT'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 163680 records were derived from 1203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005918-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rrt2z
title: Occurrence Download

description: A dataset containing 52277 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucaena leucocephala"
 ]
}

 The dataset includes 52277 records from 813 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003340-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18428393
title: Ecological niche modelling of Saussurea obvallata (DC.) Sch.Bip., a culturally and medicinally important threatened species of Indian Himalayan region: R scripts, occurrence data and  climatic layers

description: This deposit contains:- 5 R scripts for MaxEnt species distribution modeling- Occurrence data for Saussurea obvallata - Climate rasters (current and future)- Complete analysis workflow for modeling species distribution  under current and future climate scenarios

The analysis includes:- MaxEnt parameter tuning using ENMeval- Model building and threshold calculation- Model accuracy assessment- Future distribution projections for 8 scenarios  (2 GCMs: MIROC6, BCC-CSM2 × 2 SSPs × 2 time periods)
DOI: 10.5281/zenodo.18428394
title: Ecological niche modelling of Saussurea obvallata (DC.) Sch.Bip., a culturally and medicinally important threatened species of Indian Himalayan region: R scripts, occurrence data and  climatic layers

description: This deposit contains:- 5 R scripts for MaxEnt species distribution modeling- Occurrence data for Saussurea obvallata - Climate rasters (current and future)- Complete analysis workflow for modeling species distribution  under current and future climate scenarios

The analysis includes:- MaxEnt parameter tuning using ENMeval- Model building and threshold calculation- Model accuracy assessment- Future distribution projections for 8 scenarios  (2 GCMs: MIROC6, BCC-CSM2 × 2 SSPs × 2 time periods)
DOI: 10.5281/zenodo.17662199
title: FBG Bandwidth Impact on Dual-Comb Interrogation for High Fidelity Strain Sensing_dataset

description: This dataset contains processed experimental data used in the study of bandwidth-adaptive dual optical frequency comb (DOFC) interrogation of Fiber Bragg Gratings (FBGs) for high-resolution static strain sensing. The work investigates the robustness of a single EI-GSL-based DOFC interrogation platform combined with an inverted Gaussian fitting (IGF) algorithm when applied to FBGs with different spectral bandwidths.The dataset provides the strain–wavelength shift data used to extract calibration slopes, fitting residuals, linearity metrics, and effective strain resolution for both a DOFC-based interrogator and a commercial swept-laser interrogator.

Related publication:Nagar, M. A. et al., Journal of Optics and Laser Technology, "FBG Bandwidth Impact on Dual-Comb Interrogation for High Fidelity Strain Sensing"
DOI: 10.5281/zenodo.17662198
title: FBG Bandwidth Impact on Dual-Comb Interrogation for High Fidelity Strain Sensing_dataset

description: This dataset contains processed experimental data used in the study of bandwidth-adaptive dual optical frequency comb (DOFC) interrogation of Fiber Bragg Gratings (FBGs) for high-resolution static strain sensing. The work investigates the robustness of a single EI-GSL-based DOFC interrogation platform combined with an inverted Gaussian fitting (IGF) algorithm when applied to FBGs with different spectral bandwidths.The dataset provides the strain–wavelength shift data used to extract calibration slopes, fitting residuals, linearity metrics, and effective strain resolution for both a DOFC-based interrogator and a commercial swept-laser interrogator.

Related publication:Nagar, M. A. et al., Journal of Optics and Laser Technology, "FBG Bandwidth Impact on Dual-Comb Interrogation for High Fidelity Strain Sensing"
DOI: 10.5281/zenodo.18441219
title: हिन्दी के विकास में जनसंचार माध्यमों की भूमिका

description: आज हिन्दी विश्व में बोली तथा समझी जाने वाली तीसरी सबसे बड़ी भाषा बन गई है, इसमे जनसंचार माध्यमों की महत्त्वपूर्ण भूमिका हैं। जनसंचार माध्यमों में प्रिंट मीडिया हो या इलेक्ट्रॉनिक मीडिया दोनों ने हिंदी का विकास एक ऐसी भाषा एक रूप में किया है जिसने भाषा समृद्ध समाज के साथ भाषा वंचित समाज को वैश्विक स्तर पर जोड़ा है । जनसंचार माध्यमों द्वारा हिंदी आज सहज ज्ञान विज्ञान व वैश्विक सन्दर्भों से जुड़कर विश्व जनमत का निर्माण कर रही है तो वहीं दूसरी ओर आम जन के मनोरंजन, कला, शिक्षा रोज़गार की भाषा के रूप में भी उभर रही है! अपनी इसी व्यापकता के कारण हिंदी आज विश्व पटल पर बड़ी तेजी से विश्व भाषा बनने की ओर अग्रसर है।
DOI: 10.5281/zenodo.18441218
title: हिन्दी के विकास में जनसंचार माध्यमों की भूमिका

description: आज हिन्दी विश्व में बोली तथा समझी जाने वाली तीसरी सबसे बड़ी भाषा बन गई है, इसमे जनसंचार माध्यमों की महत्त्वपूर्ण भूमिका हैं। जनसंचार माध्यमों में प्रिंट मीडिया हो या इलेक्ट्रॉनिक मीडिया दोनों ने हिंदी का विकास एक ऐसी भाषा एक रूप में किया है जिसने भाषा समृद्ध समाज के साथ भाषा वंचित समाज को वैश्विक स्तर पर जोड़ा है । जनसंचार माध्यमों द्वारा हिंदी आज सहज ज्ञान विज्ञान व वैश्विक सन्दर्भों से जुड़कर विश्व जनमत का निर्माण कर रही है तो वहीं दूसरी ओर आम जन के मनोरंजन, कला, शिक्षा रोज़गार की भाषा के रूप में भी उभर रही है! अपनी इसी व्यापकता के कारण हिंदी आज विश्व पटल पर बड़ी तेजी से विश्व भाषा बनने की ओर अग्रसर है।
DOI: 10.15468/dl.6g9y2x
title: Occurrence Download

description: A dataset containing 8768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Millepora complanata",
 "Year 1000-2025"
 ]
}

 The dataset includes 8768 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003371-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/dwje-n337
title: "PGAS-Dataset"

description: "This dataset supports research on robotic source seeking in unknown indoor environments, with a particular focus on perception-guided search under uncertain and spatially varying airflow conditions. It contains structured simulation data collected across multiple indoor scenarios with varying obstacle layouts, airflow patterns, and source locations.Each dataset instance includes gas concentration measurements, wind information, and environment metadata, organized as independent experimental cases. The dataset is intended as a benchmark for evaluating robotic source-seeking algorithms in complex indoor environments."
DOI: 10.15468/dl.7yn666
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Callopistes maculatus"
 ]
}

 The dataset includes 517 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003372-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.